Compare commits

...

50 Commits

Author SHA1 Message Date
9qeklajc
dc25659cff only activ model should be visible 2026-07-07 11:11:46 +02:00
9qeklajc
349d8dd009 add model path endpoint 2026-07-06 23:49:56 +02:00
9qeklajc
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
9qeklajc
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
9qeklajc
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
9qeklajc
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 Ubbink
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
9qeklajc
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
9qeklajc
38d7075652 Merge pull request #567 from Routstr/feat-prune-dead-api-keys
feat: prune dead zero-balance API keys with background janitor
2026-06-25 14:21:20 +02:00
9qeklajc
ed27ad0dea Merge pull request #569 from jeroenubbink/docs/admin-ui-serving
docs(ui): document dev/build/serve workflow; make missing-bundle warning actionable
2026-06-25 14:20:34 +02:00
Jeroen Ubbink
6b1b4285fa docs(ui): document dev/build/serve workflow; make missing-bundle warning actionable
The ui/README.md was still stock create-next-app boilerplate. Replace it with the
real story: the UI is a Next.js static export served by FastAPI from ui_out/, the
two-process dev loop (backend :8000 + `make ui-dev` :3000 with hot reload, auto-
targeting :8000), the build/integration commands, and the cross-origin CORS note.

Also make the "ui_out not found" startup warning actionable — it now points to
`make ui-build` / `make ui-dev` instead of silently saying it skipped serving.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-25 10:54:26 +02:00
9qeklajc
7b56dcb902 resolve review comments 2026-06-24 22:54:07 +02:00
9qeklajc
2131cfc7f9 Merge pull request #566 from Routstr/fix-reservation-overrun-charge
fix: always charge balance on reservation overrun even after stale sweep
2026-06-24 22:38:28 +02:00
9qeklajc
d6d9af91e4 refactor: drop dead rowcount conditional in overrun finalize
WHERE guard now matches on hashed_key, so the UPDATE always affects one
row and result.rowcount is always truthy. Remove the conditional and its
unreachable else branch.
2026-06-24 22:21:50 +02:00
9qeklajc
cbd97e8e3a Merge pull request #549 from jeroenubbink/fix/swap-fee-retry
fix: retry foreign mint swaps with observed fees instead of trusting fee_reserve
2026-06-23 22:42:26 +02:00
Jeroen Ubbink
e4b26dd27b fix: require shortfall text for generic 11000 melt errors
11000 is nutshell's generic, unregistered TransactionError covering many
unrelated failures, so trusting the code alone made any 11000 retryable.
Gate the generic code on the 'not enough inputs' detail text; keep trusting
the registered 11005 (TransactionUnbalanced) on the code alone. Behavior is
unchanged for every existing case; a bare non-shortfall 11000 now surfaces
immediately instead of burning the retry budget.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-23 09:38:04 +02:00
9qeklajc
1e50afbd82 feat: prune dead zero-balance API keys with background janitor 2026-06-21 15:04:16 +02:00
9qeklajc
4d6e2cdf59 fix: always charge balance on reservation overrun even after stale sweep 2026-06-21 15:03:50 +02:00
9qeklajc
d079f45ba3 Merge pull request #564 from Routstr/fix-ratelimit-upstream-error-handling
better rate limit forwarding
2026-06-21 14:13:57 +02:00
9qeklajc
d08f07d6fb Merge pull request #565 from Routstr/tool-support
make openrouter default to provider supporting tool use
2026-06-21 14:06:20 +02:00
9qeklajc
af0796689f make openrouter default to provider supporting tool use 2026-06-20 23:55:03 +02:00
9qeklajc
f408785409 better rate limit forwarding 2026-06-20 20:03:40 +02:00
9qeklajc
90f1ba89e5 Merge pull request #563 from Routstr/fix-streaming-issue
consolidate streaming
2026-06-20 19:46:22 +02:00
9qeklajc
e29c9241ce Merge pull request #560 from Routstr/fix-deepseek-cache-pricing
Fix deepseek cache pricing
2026-06-20 19:46:07 +02:00
9qeklajc
5a3774a414 consolidate streaming 2026-06-20 11:33:52 +02:00
Shroominic
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
9qeklajc
b57f2d408e display cr as i 2026-06-20 00:57:11 +02:00
9qeklajc
70d9e1a1ce do correct deepseek cache price calc. 2026-06-20 00:26:34 +02:00
9qeklajc
c0a34a391f Merge pull request #558 from Routstr/display-balance-correctly
make sure balance is set correctly
2026-06-19 23:41:22 +02:00
9qeklajc
a97ea2995a Merge pull request #550 from jeroenubbink/fix/cached-token-overcharge
fix: bill cached input tokens at their real rates across vendor dialects
2026-06-19 23:41:04 +02:00
9qeklajc
5b50a78d95 Merge pull request #559 from Routstr/fix-provider-models-view
collapse when focus change
2026-06-19 14:33:58 +02:00
9qeklajc
ccab5e4216 collapse when focus change 2026-06-19 11:53:30 +02:00
9qeklajc
8f5f3d9738 resolve review comments 2026-06-13 23:40:39 +02:00
9qeklajc
355e3f19ef explicit cache 2026-06-13 23:40:39 +02:00
9qeklajc
439ac48216 update to all providers 2026-06-13 23:40:39 +02:00
Jeroen Ubbink
cbc424e8e7 build: type-check the entire repo in make targets, matching CI
CI runs 'uv run mypy .' while the Makefile only checked routstr/, so test
files could pass locally and fail the pipeline. lint, type-check and
ci-lint now check everything; --ignore-missing-imports is dropped since
the CI invocation passes without it.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-11 21:22:28 +02:00
Jeroen Ubbink
068fb3572f refactor: drop unused session parameter from calculate_cost
The session was needed when model pricing lived in the DB (73d3613) and has
been dead since pricing moved to the in-memory model map (0da08fb), yet every
caller was still obliged to supply one. get_x_cashu_cost even opened a DB
session per x-cashu request solely to feed it.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-11 21:17:11 +02:00
Jeroen Ubbink
eaf74edbba fix: bill cached input tokens at their real rates across vendor dialects
Cached prompt tokens were billed at the full input rate whenever a vendor's
usage dialect or cache pricing was unknown, overcharging DeepSeek topups
~5-10x on agentic workloads (hits are 10x cheaper upstream) and silently
mispricing OpenAI cached reads and Anthropic cache writes the same way.

Two root causes, two fixes:

- Usage dialects: DeepSeek reports prompt_cache_hit_tokens /
  prompt_cache_miss_tokens, which billing never parsed. Usage normalization
  now lives in payment/usage.py as a union parser over the known,
  non-colliding dialects (OpenAI prompt_tokens_details, Anthropic additive
  cache fields, DeepSeek hit/miss), producing one canonical NormalizedUsage.
  Providers expose it as an overridable BaseUpstreamProvider.normalize_usage
  hook — the escape hatch for future vendors whose fields genuinely
  conflict — and every settlement call site passes the provider's result
  through, so calculate_cost holds no vendor knowledge of its own.

- Cache rates: the OpenRouter model feed omits input_cache_read/-write for
  most DeepSeek models (and e.g. openai/gpt-4o), so billing fell back to the
  full input rate. Missing rates are now backfilled from litellm's bundled
  cost map before the provider fee is applied; the input-rate fallback
  remains only as the documented last resort.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-11 21:17:11 +02:00
Jeroen Ubbink
eb6dc5189c test: pin the verbatim production error from issue #468 as retryable
The reported error carries cashu-py's "could not pay invoice" wrapper
around the mint detail; the classifier must still find the code and the
shortfall inside it.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-11 15:08:38 +02:00
Jeroen Ubbink
cbdbe4b899 test: cover all branches of the foreign-mint swap path
Every statement and branch of the topup path (recieve_token,
swap_to_primary_mint and its helpers, credit_balance) is now covered,
including the previously untested mint-failure/recovery block: recovery
must never credit proofs the wallet does not hold, and post-melt failures
must propagate unwrapped since the foreign proofs are already spent.

On testing internals: orchestration and side effects are tested only
through the public functions, with mocks at the external mint boundary
(the cashu Wallet object) — no internal code is ever mocked. The two pure
leaf helpers (_melt_insufficient_shortfall, _net_minted_amount) are tested
directly instead: their input spaces (seven error formats across mint
implementations, sat/msat conversions both ways) would cost ~30 lines of
quote/melt mock choreography per case through the swap loop, for the same
assertion a parametrize row makes. The same-mint branch of
_calculate_swap_amount is unreachable from public callers today; its test
documents the contract for the planned pre-flight fee estimation, which
will call it directly.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-11 15:08:38 +02:00
Jeroen Ubbink
7870db9af1 fix: retry foreign mint swaps with observed fees instead of trusting fee_reserve
A foreign mint's melt fee_reserve is a non-binding estimate (NUT-05): the
mint may demand more on the real quote or reject the melt outright (e.g.
mint.cubabitcoin.org charging input fees beyond its quote). Instead of
padding the estimate with a safety buffer that strands funds at the
foreign mint on every swap, retry the mint-quote/melt-quote/melt cycle
(max 3 attempts) with the amount recomputed from the fees the mint
actually demands.

Melt failures are classified by the NUT-00 error code (11005 registered
TransactionUnbalanced as sent by cdk, 11000 nutshell's generic
TransactionError): fee-related rejections retry, others (e.g. 20004
Lightning payment failed) surface immediately. Nutshell's Provided/needed
amounts refine the retry step when present; otherwise shrink by 1.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-11 15:08:38 +02:00
64 changed files with 6732 additions and 623 deletions

View File

@@ -98,7 +98,7 @@ docker-down:
lint:
@echo "🔍 Running linting checks..."
$(RUFF) check .
$(MYPY) routstr/ --ignore-missing-imports
$(MYPY) .
format:
@echo "✨ Formatting code..."
@@ -107,7 +107,7 @@ format:
type-check:
@echo "🔎 Running type checks..."
$(MYPY) routstr/ --ignore-missing-imports
$(MYPY) .
# Development setup
dev-setup:
@@ -234,7 +234,7 @@ ci-test:
ci-lint:
@echo "🤖 Running CI linting..."
$(RUFF) check . --exit-non-zero-on-fix
$(MYPY) routstr/ --ignore-missing-imports --no-error-summary
$(MYPY) . --no-error-summary
# Debug helpers
test-debug:

View File

@@ -327,6 +327,58 @@ GET /v1/models
}
```
### List Model Paths
Get the upstream provider paths each advertised model can be reached through.
This is discovery data only; routing still chooses the provider per request.
```http
GET /v1/models/paths
```
**Response:**
```json
{
"data": [
{
"id": "claude-sonnet-4",
"paths": [
{"path": "anthropic"},
{"path": "openrouter:Anthropic"}
]
}
]
}
```
### List Paths for One Model
Use a query parameter so model IDs containing `/` are handled safely. Lookup is
by the public, unqualified model ID: `glm-5v-turbo` resolves
`z-ai/glm-5v-turbo`, and `deepseek-v4-pro` and `deepseek/deepseek-v4-pro`
return the same merged path set.
```http
GET /v1/models/paths/model?model_id=anthropic/claude-sonnet-4
```
**Response:**
```json
{
"data": [
{"path": "anthropic"},
{"path": "openrouter:Anthropic"}
]
}
```
Model IDs in responses are unqualified display IDs: provider prefixes such as
`z-ai/` or `openai/` are stripped. Path values match the provider string stamped
on chat-completion responses, such as `anthropic`, `generic:my-upstream`, or
`openrouter:Anthropic`.
## Wallet Management
### Create Wallet (Coming Soon)

View File

@@ -100,6 +100,7 @@ All errors follow a consistent format:
Standard OpenAI-compatible endpoints:
- **Models**: `/v1/models`
- **Model paths**: `/v1/models/paths`, `/v1/models/paths/model?model_id=...`
- **Responses**: `/v1/responses`
- **Chat Completions**: `/v1/chat/completions`
- **Embeddings**: `/v1/embeddings`
@@ -302,7 +303,7 @@ Get node metadata:
GET /v1/info
```
Supported models and pricing are available at `/v1/models`.
Supported models and pricing are available at `/v1/models`. Upstream provider path discovery is available at `/v1/models/paths` and `/v1/models/paths/model?model_id=...`.
## Next Steps

View File

@@ -137,6 +137,7 @@ Use environment variables for:
| `TOR_PROXY_URL` | SOCKS5 proxy for Tor | `socks5://127.0.0.1:9050` |
| `CORS_ORIGINS` | Allowed CORS origins | `*` |
| `RELAYS` | Nostr relays (comma-separated) | (default set) |
| `MODEL_PATHS_REFRESH_INTERVAL_SECONDS` | How often to refresh `/v1/models/paths` discovery data; set `0` to disable | `600` |
### Priority
@@ -156,3 +157,8 @@ Manage which AI models you offer:
- **Create aliases** — friendly names for models
See [Pricing](pricing.md) for per-model pricing strategies.
Model path discovery is refreshed in the background and exposed through
`/v1/models/paths`. The response groups each client-visible model ID with the
provider paths that may appear in chat-completion response metadata. Tune the
refresh cadence with `MODEL_PATHS_REFRESH_INTERVAL_SECONDS`.

View File

@@ -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")

View File

@@ -0,0 +1,66 @@
"""add model_paths table
Revision ID: d7e8f9a0b1c2
Revises: c6d7e8f9a0b1
Create Date: 2026-07-05 00:00:00.000000
"""
from __future__ import annotations
import sqlalchemy as sa
from alembic import op
revision = "d7e8f9a0b1c2"
down_revision = "c6d7e8f9a0b1"
branch_labels = None
depends_on = None
def upgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
if "model_paths" in inspector.get_table_names():
return
op.create_table(
"model_paths",
sa.Column("id", sa.Integer(), primary_key=True, autoincrement=True),
sa.Column("model_id", sa.String(), nullable=False),
sa.Column("path", sa.String(), nullable=False),
sa.Column("upstream_provider_id", sa.Integer(), nullable=False),
sa.ForeignKeyConstraint(
["upstream_provider_id"],
["upstream_providers.id"],
ondelete="CASCADE",
),
sa.UniqueConstraint(
"model_id",
"path",
"upstream_provider_id",
name="uq_model_paths_model_path_provider",
),
)
op.create_index(
"ix_model_paths_model_id",
"model_paths",
["model_id"],
)
op.create_index(
"ix_model_paths_upstream_provider_id",
"model_paths",
["upstream_provider_id"],
)
def downgrade() -> None:
conn = op.get_bind()
inspector = sa.inspect(conn)
if "model_paths" not in inspector.get_table_names():
return
existing_indexes = {idx["name"] for idx in inspector.get_indexes("model_paths")}
if "ix_model_paths_upstream_provider_id" in existing_indexes:
op.drop_index("ix_model_paths_upstream_provider_id", table_name="model_paths")
if "ix_model_paths_model_id" in existing_indexes:
op.drop_index("ix_model_paths_model_id", table_name="model_paths")
op.drop_table("model_paths")

View File

@@ -709,12 +709,18 @@ async def revert_pay_for_request(
async def adjust_payment_for_tokens(
key: ApiKey, response_data: dict, session: AsyncSession, deducted_max_cost: int
key: ApiKey,
response_data: dict,
session: AsyncSession,
deducted_max_cost: int,
) -> dict:
"""
Adjusts the payment based on token usage in the response.
This is called after the initial payment and the upstream request is complete.
Returns cost data to be included in the response.
The response's usage object is normalized with the default union parser in
``calculate_cost``.
"""
billing_key = await get_billing_key(key, session)
model = response_data.get("model", "unknown")
@@ -797,7 +803,7 @@ async def adjust_payment_for_tokens(
extra={"error": str(e), "fee_msats": fee_msats},
)
match await calculate_cost(response_data, deducted_max_cost, session):
match await calculate_cost(response_data, deducted_max_cost):
case MaxCostData() as cost:
logger.debug(
"Using max cost data (no token adjustment)",
@@ -1015,32 +1021,37 @@ async def adjust_payment_for_tokens(
# actual cost exceeded discounted reservation (due to tolerance_percentage)
if cost_difference > 0:
# Always release the reservation and charge min(actual_cost, balance).
# Using a CASE expression makes this a single atomic UPDATE — no
# multi-level fallback needed and balance can never go negative.
# CASE expressions keep this atomic and safe even when the
# stale-reservation sweeper has already released the reservation.
chargeable = case(
(col(ApiKey.balance) >= total_cost_msats, total_cost_msats),
else_=col(ApiKey.balance),
)
overrun_safe_reserved = case(
(
col(ApiKey.reserved_balance) >= deducted_max_cost,
col(ApiKey.reserved_balance) - deducted_max_cost,
),
else_=0,
)
finalize_stmt = (
update(ApiKey)
.where(col(ApiKey.hashed_key) == billing_key.hashed_key)
.where(col(ApiKey.reserved_balance) >= deducted_max_cost)
.values(
reserved_balance=col(ApiKey.reserved_balance) - deducted_max_cost,
reserved_balance=overrun_safe_reserved,
balance=col(ApiKey.balance) - chargeable,
total_spent=col(ApiKey.total_spent) + chargeable,
)
)
result = await session.exec(finalize_stmt) # type: ignore[call-overload]
await session.exec(finalize_stmt) # type: ignore[call-overload]
if billing_key.hashed_key != key.hashed_key:
child_stmt = (
update(ApiKey)
.where(col(ApiKey.hashed_key) == key.hashed_key)
.where(col(ApiKey.reserved_balance) >= deducted_max_cost)
.values(
reserved_balance=col(ApiKey.reserved_balance) - deducted_max_cost,
reserved_balance=overrun_safe_reserved,
total_spent=col(ApiKey.total_spent) + min(billing_key.balance, total_cost_msats),
)
)
@@ -1048,51 +1059,38 @@ async def adjust_payment_for_tokens(
await session.commit()
if result.rowcount:
await session.refresh(billing_key)
if billing_key.hashed_key != key.hashed_key:
await session.refresh(key)
cost.total_msats = total_cost_msats
logger.info(
"Finalized payment with additional charge",
extra={
"key_hash": key.hashed_key[:8] + "...",
"billing_key_hash": billing_key.hashed_key[:8] + "...",
"charged_amount": total_cost_msats,
"new_balance": billing_key.balance,
"model": model,
},
)
await _accumulate_fee(total_cost_msats)
payments_logger.info(
"FINALIZE",
extra={
"event": "finalize",
"key_hash": key.hashed_key[:8] + "...",
"billing_key_hash": billing_key.hashed_key[:8] + "...",
"model": model,
"cost_reserved": deducted_max_cost,
"cost_charged": total_cost_msats,
"input_tokens": cost.input_tokens,
"output_tokens": cost.output_tokens,
"balance": billing_key.balance,
"reserved_balance": billing_key.reserved_balance,
"total_spent": billing_key.total_spent,
"finalize_type": "overrun",
},
)
else:
# Guard fired: reservation was already released by a concurrent
# finalization for this key. Nothing left to do.
logger.warning(
"Finalization skipped - reservation already released",
extra={
"key_hash": key.hashed_key[:8] + "...",
"billing_key_hash": billing_key.hashed_key[:8] + "...",
"attempted_charge": total_cost_msats,
"model": model,
},
)
await session.refresh(billing_key)
if billing_key.hashed_key != key.hashed_key:
await session.refresh(key)
cost.total_msats = total_cost_msats
logger.info(
"Finalized payment with additional charge",
extra={
"key_hash": key.hashed_key[:8] + "...",
"billing_key_hash": billing_key.hashed_key[:8] + "...",
"charged_amount": total_cost_msats,
"new_balance": billing_key.balance,
"model": model,
},
)
await _accumulate_fee(total_cost_msats)
payments_logger.info(
"FINALIZE",
extra={
"event": "finalize",
"key_hash": key.hashed_key[:8] + "...",
"billing_key_hash": billing_key.hashed_key[:8] + "...",
"model": model,
"cost_reserved": deducted_max_cost,
"cost_charged": total_cost_msats,
"input_tokens": cost.input_tokens,
"output_tokens": cost.output_tokens,
"balance": billing_key.balance,
"reserved_balance": billing_key.reserved_balance,
"total_spent": billing_key.total_spent,
"finalize_type": "overrun",
},
)
else:
# Refund some of the base cost
refund = abs(cost_difference)
@@ -1299,6 +1297,35 @@ async def periodic_key_reset() -> None:
logger.error(f"Error in periodic_key_reset: {e}")
async def periodic_dead_key_prune() -> None:
"""Periodically prune dead API keys. Interval <= 0 disables it.
See ``prune_dead_api_keys`` for eligibility.
"""
from .core.db import create_session, prune_dead_api_keys
interval = settings.dead_key_prune_interval_seconds
if interval <= 0:
logger.info("Dead-key pruning disabled (interval <= 0)")
return
while True:
try:
await asyncio.sleep(interval)
except asyncio.CancelledError:
break
try:
async with create_session() as session:
await prune_dead_api_keys(
session, settings.dead_key_min_age_seconds
)
except asyncio.CancelledError:
break
except Exception as e:
logger.error(f"Error in periodic_dead_key_prune: {e}")
STALE_RESERVATION_SWEEP_INTERVAL_SECONDS: int = 60

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(

View File

@@ -9,9 +9,10 @@ from typing import AsyncGenerator
from alembic import command
from alembic.config import Config
from alembic.util.exc import CommandError
from sqlalchemy import UniqueConstraint
from sqlalchemy import UniqueConstraint, delete
from sqlalchemy.exc import OperationalError
from sqlalchemy.ext.asyncio.engine import create_async_engine
from sqlalchemy.orm import aliased
from sqlmodel import Field, Relationship, SQLModel, col, func, select, update
from sqlmodel.ext.asyncio.session import AsyncSession
@@ -125,6 +126,63 @@ async def release_stale_reservations(
return released
async def prune_dead_api_keys(session: AsyncSession, min_age_seconds: int) -> int:
"""Delete dead parentless API keys; return the count removed.
Dead = 0 balance/reservation/spend/requests, older than the grace period,
no parent, no children, no pending invoice. Cashu rows are unlinked (not
deleted) first to keep the audit trail.
"""
cutoff = int(time.time()) - min_age_seconds
child = aliased(ApiKey)
has_children = (
select(child.hashed_key).where(
col(child.parent_key_hash) == col(ApiKey.hashed_key)
)
).exists()
pending_invoice = (
select(LightningInvoice.id)
.where(col(LightningInvoice.api_key_hash) == col(ApiKey.hashed_key))
.where(col(LightningInvoice.status) == "pending")
).exists()
eligible_hashes = (
select(ApiKey.hashed_key)
.where(col(ApiKey.balance) == 0)
.where(col(ApiKey.reserved_balance) == 0)
.where(col(ApiKey.total_spent) == 0)
.where(col(ApiKey.total_requests) == 0)
.where(col(ApiKey.parent_key_hash).is_(None))
.where(
(col(ApiKey.created_at).is_(None)) | (col(ApiKey.created_at) < cutoff)
)
.where(~pending_invoice)
.where(~has_children)
)
# Unlink transactions rather than cascade-deleting them, so the financial
# audit trail survives. The eligibility predicate is re-evaluated inside both
# statements so a key that gained balance mid-run is left untouched.
await session.exec( # type: ignore[call-overload]
update(CashuTransaction)
.where(col(CashuTransaction.api_key_hashed_key).in_(eligible_hashes))
.values(api_key_hashed_key=None)
)
result = await session.exec( # type: ignore[call-overload]
delete(ApiKey).where(col(ApiKey.hashed_key).in_(eligible_hashes))
)
await session.commit()
pruned = int(result.rowcount or 0)
logger.info(
"Pruned dead API keys",
extra={"pruned_keys": pruned, "min_age_seconds": min_age_seconds},
)
return pruned
class ModelRow(SQLModel, table=True): # type: ignore
__tablename__ = "models"
id: str = Field(primary_key=True)
@@ -152,6 +210,41 @@ class ModelRow(SQLModel, table=True): # type: ignore
upstream_provider: "UpstreamProviderRow" = Relationship(back_populates="models")
class ModelPathRow(SQLModel, table=True): # type: ignore
"""Upstream provider path a model is reachable through.
Discovery/visibility data only. ``model_id`` is intentionally NOT globally
unique: it is the client-visible ``/v1/models`` id (``forwarded_model_id or
id``) grouped across every provider that exposes the model. A single model
can therefore have several rows — one per direct provider path plus one per
OpenRouter sub-provider endpoint.
"""
__tablename__ = "model_paths"
__table_args__ = (
UniqueConstraint(
"model_id",
"path",
"upstream_provider_id",
name="uq_model_paths_model_path_provider",
),
)
id: int | None = Field(default=None, primary_key=True)
model_id: str = Field(
index=True, description="Client-visible /v1/models id (forwarded_model_id or id)"
)
path: str = Field(
description="Provider path stamped on chat completion responses, e.g. "
"'anthropic' or 'openrouter:Anthropic'"
)
upstream_provider_id: int = Field(
index=True,
foreign_key="upstream_providers.id",
ondelete="CASCADE",
description="upstream_providers.id this path was discovered from",
)
class LightningInvoice(SQLModel, table=True): # type: ignore
__tablename__ = "lightning_invoices"
@@ -261,6 +354,12 @@ 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."
)

View File

@@ -7,11 +7,26 @@ logger = get_logger(__name__)
class UpstreamError(Exception):
"""Exception raised when an upstream provider fails."""
"""Exception raised when an upstream provider fails.
def __init__(self, message: str, status_code: int = 502):
``code`` carries a stable, machine-readable classification (e.g.
``UPSTREAM_RATE_LIMIT``) so callers can distinguish failure kinds without
string-matching the message. ``details`` holds optional structured,
redaction-safe context. Both default to ``None`` for backwards
compatibility.
"""
def __init__(
self,
message: str,
status_code: int = 502,
code: str | None = None,
details: dict[str, object] | None = None,
):
self.message = message
self.status_code = status_code
self.code = code
self.details = details
super().__init__(message)

View File

@@ -51,6 +51,8 @@ from pythonjsonlogger import jsonlogger
from rich.console import Console
from rich.logging import RichHandler
from .redaction import redact_obj, redact_org_ids
# Only use RichHandler when stdout is a real TTY. In non-TTY contexts
# (docker logs, pipes, CI) Rich pads every line to width and wraps long
# records, producing visually-empty trailing whitespace and split records.
@@ -180,6 +182,37 @@ class RequestIdFilter(logging.Filter):
return True
# Standard ``LogRecord`` attributes that are never user-supplied ``extra``
# fields; skipped when redacting structured extras (``msg``/``message`` are
# handled separately above).
_NON_EXTRA_RECORD_ATTRS = frozenset(
{
"name",
"msg",
"args",
"levelname",
"levelno",
"pathname",
"filename",
"module",
"exc_info",
"exc_text",
"stack_info",
"lineno",
"funcName",
"created",
"msecs",
"relativeCreated",
"thread",
"threadName",
"processName",
"process",
"taskName",
"message",
}
)
class SecurityFilter(logging.Filter):
"""Filter to remove sensitive information from logs."""
@@ -203,6 +236,7 @@ class SecurityFilter(logging.Filter):
"""Filter out sensitive information from log records."""
try:
message = record.getMessage()
message = redact_org_ids(message)
standalone_patterns = [
r"Bearer\s+([a-zA-Z0-9_\-\.]{10,})", # Bearer token (must be 10 characters or more to reduce false-positives)
r"cashu[A-Z]+([a-zA-Z0-9_\-\.=/+]+)", # Cashu tokens
@@ -224,6 +258,16 @@ class SecurityFilter(logging.Filter):
record.msg = message
record.args = ()
# Structured `extra={...}` fields are emitted by the JSON formatter
# straight from the record dict and never pass through the message
# formatting above. Redact organization IDs from any string-valued
# extra so they cannot leak via structured logs.
for attr, value in list(record.__dict__.items()):
if attr in _NON_EXTRA_RECORD_ATTRS:
continue
if isinstance(value, (str, dict, list, tuple)):
record.__dict__[attr] = redact_obj(value)
except Exception:
pass

View File

@@ -11,7 +11,11 @@ from starlette.exceptions import HTTPException
from starlette.responses import Response as StarletteResponse
from starlette.types import Scope
from ..auth import periodic_key_reset, periodic_stale_reservation_sweep
from ..auth import (
periodic_dead_key_prune,
periodic_key_reset,
periodic_stale_reservation_sweep,
)
from ..balance import balance_router, deprecated_wallet_router
from ..lightning import lightning_router, periodic_invoice_watcher
from ..nostr import (
@@ -24,6 +28,7 @@ from ..payment.models import models_router, update_sats_pricing
from ..payment.price import update_prices_periodically
from ..proxy import initialize_upstreams, proxy_router, refresh_model_maps_periodically
from ..upstream.auto_topup import periodic_auto_topup
from ..upstream.deepseek_v4_pricing_shim import register_deepseek_v4_pricing
from ..upstream.litellm_routing import configure_litellm
from ..wallet import periodic_payout, periodic_refund_sweep, periodic_routstr_fee_payout
from .admin import admin_router
@@ -53,8 +58,10 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
providers_task = None
models_refresh_task = None
model_maps_refresh_task = None
model_paths_refresh_task = None
key_reset_task = None
stale_reservation_task = None
dead_key_prune_task = None
auto_topup_task = None
refund_sweep_task = None
routstr_fee_task = None
@@ -65,6 +72,11 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
# debug logging) before any upstream provider dispatches a request.
configure_litellm()
# TEMPORARY: backfill DeepSeek V4 pricing missing from litellm's cost
# map (BerriAI/litellm#30430). Remove this call and
# deepseek_v4_pricing_shim.py once litellm ships these models.
register_deepseek_v4_pricing()
# Run database migrations on startup
run_migrations()
@@ -116,6 +128,12 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
refresh_upstreams_models_periodically(get_upstreams)
)
model_maps_refresh_task = asyncio.create_task(refresh_model_maps_periodically())
if global_settings.model_paths_refresh_interval_seconds > 0:
from ..upstream.model_paths import refresh_model_paths_periodically
model_paths_refresh_task = asyncio.create_task(
refresh_model_paths_periodically(get_upstreams)
)
payout_task = asyncio.create_task(periodic_payout())
if global_settings.nsec:
nip91_task = asyncio.create_task(announce_provider())
@@ -126,6 +144,7 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
stale_reservation_task = asyncio.create_task(
periodic_stale_reservation_sweep()
)
dead_key_prune_task = asyncio.create_task(periodic_dead_key_prune())
auto_topup_task = asyncio.create_task(periodic_auto_topup())
refund_sweep_task = asyncio.create_task(periodic_refund_sweep())
routstr_fee_task = asyncio.create_task(periodic_routstr_fee_payout())
@@ -161,10 +180,14 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
models_refresh_task.cancel()
if model_maps_refresh_task is not None:
model_maps_refresh_task.cancel()
if model_paths_refresh_task is not None:
model_paths_refresh_task.cancel()
if key_reset_task is not None:
key_reset_task.cancel()
if stale_reservation_task is not None:
stale_reservation_task.cancel()
if dead_key_prune_task is not None:
dead_key_prune_task.cancel()
if auto_topup_task is not None:
auto_topup_task.cancel()
if refund_sweep_task is not None:
@@ -192,10 +215,14 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
tasks_to_wait.append(models_refresh_task)
if model_maps_refresh_task is not None:
tasks_to_wait.append(model_maps_refresh_task)
if model_paths_refresh_task is not None:
tasks_to_wait.append(model_paths_refresh_task)
if key_reset_task is not None:
tasks_to_wait.append(key_reset_task)
if stale_reservation_task is not None:
tasks_to_wait.append(stale_reservation_task)
if dead_key_prune_task is not None:
tasks_to_wait.append(dead_key_prune_task)
if auto_topup_task is not None:
tasks_to_wait.append(auto_topup_task)
if refund_sweep_task is not None:
@@ -363,7 +390,10 @@ if UI_DIST_PATH.exists() and UI_DIST_PATH.is_dir():
else:
logger.warning(
f"UI dist directory not found at {UI_DIST_PATH}, skipping static file serving"
"UI dist directory not found at %s; serving API only. Run `make ui-build` "
"to build the static UI served from here, or `make ui-dev` for the Next.js "
"dev server with hot reload on :3000 (it targets this backend on :8000).",
UI_DIST_PATH,
)
@app.get("/", include_in_schema=False)

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")

51
routstr/core/redaction.py Normal file
View File

@@ -0,0 +1,51 @@
"""Redaction helpers for sensitive provider identifiers.
Single source of truth for stripping account-scoped identifiers (e.g. OpenAI
organization IDs) from any text before it is logged, returned to a caller, or
written to an audit entry.
"""
from __future__ import annotations
import re
from typing import Any
# OpenAI-style organization identifiers look like ``org-<base62>``. Require at
# least 6 trailing chars so the already-redacted literal ``org-[REDACTED]`` is
# never re-matched (``[`` is not in the character class).
_ORG_ID_PATTERN = re.compile(r"\borg-[A-Za-z0-9]{6,}\b")
ORG_ID_PLACEHOLDER = "org-[REDACTED]"
def redact_org_ids(text: str) -> str:
"""Replace OpenAI-style organization IDs with ``org-[REDACTED]``.
Args:
text: Arbitrary text that may embed an ``org-*`` identifier.
Returns:
The text with every organization ID replaced. Non-string input is
returned unchanged after coercion to ``str``.
"""
if not text:
return text
return _ORG_ID_PATTERN.sub(ORG_ID_PLACEHOLDER, text)
def redact_obj(obj: Any) -> Any:
"""Recursively redact organization IDs in arbitrary nested structures.
Strings are redacted in place; dicts and lists/tuples are walked so that
identifiers nested inside structured payloads (e.g. log ``extra`` fields or
error ``details``) are also stripped. Other types are returned unchanged.
"""
if isinstance(obj, str):
return redact_org_ids(obj)
if isinstance(obj, dict):
return {key: redact_obj(value) for key, value in obj.items()}
if isinstance(obj, list):
return [redact_obj(value) for value in obj]
if isinstance(obj, tuple):
return tuple(redact_obj(value) for value in obj)
return obj

View File

@@ -73,6 +73,14 @@ class Settings(BaseSettings):
stale_reservation_timeout_seconds: int = Field(
default=300, env="STALE_RESERVATION_TIMEOUT_SECONDS"
)
# Background prune of dead (zero balance, never used) API keys.
# Interval 0 disables it; min-age is a grace period (default 1 week).
dead_key_prune_interval_seconds: int = Field(
default=3600, env="DEAD_KEY_PRUNE_INTERVAL_SECONDS"
)
dead_key_min_age_seconds: int = Field(
default=604_800, env="DEAD_KEY_MIN_AGE_SECONDS"
)
# Network
cors_origins: list[str] = Field(default_factory=lambda: ["*"], env="CORS_ORIGINS")
@@ -86,6 +94,9 @@ class Settings(BaseSettings):
models_refresh_interval_seconds: int = Field(
default=360, env="MODELS_REFRESH_INTERVAL_SECONDS"
)
model_paths_refresh_interval_seconds: int = Field(
default=600, env="MODEL_PATHS_REFRESH_INTERVAL_SECONDS"
)
enable_pricing_refresh: bool = Field(default=True, env="ENABLE_PRICING_REFRESH")
enable_models_refresh: bool = Field(default=True, env="ENABLE_MODELS_REFRESH")
refund_cache_ttl_seconds: int = Field(default=3600, env="REFUND_CACHE_TTL_SECONDS")

View File

@@ -3,9 +3,17 @@ import math
from pydantic.v1 import BaseModel
from ..core import get_logger
from ..core.db import AsyncSession
from ..core.settings import settings
from .price import sats_usd_price
from .usage import normalize_usage, parse_token_count
__all__ = [
"CostData",
"CostDataError",
"MaxCostData",
"calculate_cost",
"parse_token_count",
]
logger = get_logger(__name__)
@@ -33,8 +41,31 @@ 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, session: AsyncSession
response_data: dict,
max_cost: int,
) -> CostData | MaxCostData | CostDataError:
"""Calculate the cost of an API request based on token usage.
@@ -44,6 +75,9 @@ async def calculate_cost(
Returns:
Cost data or error information
The response's usage object is normalized with the default union parser;
this function holds no vendor-dialect knowledge of its own.
"""
logger.debug(
"Starting cost calculation",
@@ -54,8 +88,9 @@ async def calculate_cost(
},
)
# Check for usage data
if "usage" not in response_data or response_data["usage"] is None:
usage = normalize_usage(response_data.get("usage"))
if usage is None:
logger.warning(
"No usage data in response — billing at MaxCostData with zero "
"tokens. Dashboard will show this request as `(0+0)`. Most "
@@ -70,34 +105,41 @@ 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["usage"]
usage_data = response_data.get("usage") or {}
if not isinstance(usage_data, dict):
usage_data = {}
# Extract token counts
input_tokens = _extract_token_pair(usage_data, "prompt_tokens", "input_tokens")
output_tokens = _extract_token_pair(usage_data, "completion_tokens", "output_tokens")
# Extract cache tokens (handles OpenAI vs Anthropic formats)
cache_read_tokens, cache_creation_tokens, input_tokens = _extract_cache_tokens(
usage_data, input_tokens
)
input_tokens = usage.input_tokens
output_tokens = usage.output_tokens
cache_read_tokens = usage.cache_read_tokens
cache_creation_tokens = usage.cache_write_tokens
# 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 — "
@@ -202,22 +244,6 @@ async def calculate_cost(
# ============================================================================
def parse_token_count(value: object) -> int:
"""Parse a token count from various formats (int, float, str, bool)."""
if isinstance(value, bool):
return 0
if isinstance(value, int):
return max(0, value)
if isinstance(value, float):
return max(0, int(value))
if isinstance(value, str):
try:
return max(0, int(float(value)))
except ValueError:
return 0
return 0
def _coerce_usd(value: object) -> float:
"""Coerce a value to USD float, handling various formats safely."""
if value is None or isinstance(value, bool):
@@ -230,37 +256,6 @@ def _coerce_usd(value: object) -> float:
return 0.0
def _extract_token_pair(
usage_data: dict, standard_field: str, alt_field: str
) -> int:
"""Extract token count trying two field names in order."""
value = parse_token_count(usage_data.get(standard_field, 0))
if value > 0:
return value
return parse_token_count(usage_data.get(alt_field, 0))
def _extract_cache_tokens(usage_data: dict, input_tokens: int) -> tuple[int, int, int]:
"""Extract cache tokens, handling OpenAI vs Anthropic formats.
Returns: (cache_read_tokens, cache_creation_tokens, adjusted_input_tokens)
"""
cache_read = parse_token_count(usage_data.get("cache_read_input_tokens", 0))
cache_creation = parse_token_count(
usage_data.get("cache_creation_input_tokens", 0)
)
# OpenAI: cache is included in input_tokens, subtract it
prompt_details = usage_data.get("prompt_tokens_details")
if isinstance(prompt_details, dict) and not cache_read:
openai_cached = parse_token_count(prompt_details.get("cached_tokens", 0))
if openai_cached:
cache_read = openai_cached
input_tokens = max(0, input_tokens - cache_read)
return cache_read, cache_creation, input_tokens
def _resolve_usd_cost(usage_data: dict, response_data: dict) -> float:
"""Resolve USD cost with clear priority order.
@@ -454,10 +449,21 @@ def _calculate_from_tokens(
},
)
# Fold the cache-read/write cost into the visible ``input_msats`` so a
# dashboard that renders I / O / T sees ``input + output == total``
# exactly. This mirrors ``_fold_cache_into_input_tokens`` (which rolls the
# cache token counts into the visible prompt total). The standalone
# ``cache_read_msats`` / ``cache_creation_msats`` fields stay populated for
# clients that want the breakdown; nothing sums the components to derive
# ``total_msats`` (it is computed independently above), so this is
# display-only and does not change what is billed.
visible_output_msats = int(calc_output_msats)
visible_input_msats = token_based_cost - visible_output_msats
return CostData(
base_msats=0,
input_msats=int(calc_input_msats),
output_msats=int(calc_output_msats),
input_msats=visible_input_msats,
output_msats=visible_output_msats,
total_msats=token_based_cost,
total_usd=total_usd,
input_tokens=input_tokens,

View File

@@ -11,6 +11,8 @@ from PIL import Image
from sqlmodel.ext.asyncio.session import AsyncSession
from ..core import get_logger
from ..core.exceptions import UpstreamError
from ..core.redaction import redact_org_ids
from ..core.settings import settings
from ..wallet import deserialize_token_from_string
@@ -418,16 +420,27 @@ def create_error_response(
status_code: int,
request: Request,
token: str | None = None,
code: str | int | None = None,
details: dict[str, object] | None = None,
) -> Response:
"""Create a standardized error response."""
"""Create a standardized error response.
``code`` is a stable, machine-readable classification (e.g.
``UPSTREAM_RATE_LIMIT``); when omitted it defaults to the HTTP status code
for backwards compatibility. ``details`` carries optional structured,
redaction-safe context.
"""
error_obj: dict[str, object] = {
"message": redact_org_ids(message),
"type": error_type,
"code": code if code is not None else status_code,
}
if details is not None:
error_obj["details"] = details
return Response(
content=json.dumps(
{
"error": {
"message": message,
"type": error_type,
"code": status_code,
},
"error": error_obj,
"request_id": getattr(request.state, "request_id", "unknown"),
}
),
@@ -435,3 +448,20 @@ def create_error_response(
media_type="application/json",
headers={"X-Cashu": token} if token else {},
)
def create_upstream_error_response(
error: UpstreamError,
request: Request,
fallback_status: int = 502,
) -> Response:
"""Build an error response from an :class:`UpstreamError`, preserving its
structured ``code``, ``details``, and original ``status_code``."""
return create_error_response(
"upstream_error",
str(error),
error.status_code or fallback_status,
request=request,
code=getattr(error, "code", None),
details=getattr(error, "details", None),
)

View File

@@ -85,6 +85,65 @@ class Model(BaseModel):
return hash(self.id)
def backfill_cache_pricing(model_id: str, pricing: Pricing) -> Pricing:
"""Fill missing cache rates from litellm's bundled cost map.
The OpenRouter model feed omits ``input_cache_read``/``input_cache_write``
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. litellm keys are
lowercase, but a generic upstream may report a mixed-case id
(``deepseek-ai/DeepSeek-V4-Flash``); an exact match is attempted first, then
a case-insensitive fallback so such ids still resolve.
Rates already present (e.g. provided by OpenRouter) are authoritative and
never overwritten. Unknown models are returned unchanged.
"""
needs_read = (pricing.input_cache_read or 0.0) <= 0.0
needs_write = (pricing.input_cache_write or 0.0) <= 0.0
if not (needs_read or needs_write):
return pricing
import litellm
candidates = (model_id, model_id.split("/", 1)[-1])
info: dict | None = None
for key in candidates:
candidate = litellm.model_cost.get(key)
if isinstance(candidate, dict):
info = candidate
break
if info is None:
# Case-insensitive fallback: a mixed-case upstream id (e.g.
# ``deepseek-ai/DeepSeek-V4-Flash``) won't match litellm's lowercase
# keys exactly. Build a lowercased index once and retry.
lowered = {c.lower() for c in candidates}
for key, candidate in litellm.model_cost.items():
if (
isinstance(key, str)
and key.lower() in lowered
and isinstance(candidate, dict)
):
info = candidate
break
if info is None:
return pricing
updated = Pricing.parse_obj(pricing.dict())
if needs_read:
read_rate = info.get("cache_read_input_token_cost")
if isinstance(read_rate, (int, float)) and read_rate > 0:
updated.input_cache_read = float(read_rate)
if needs_write:
write_rate = info.get("cache_creation_input_token_cost")
if isinstance(write_rate, (int, float)) and write_rate > 0:
updated.input_cache_write = float(write_rate)
return updated
def _has_valid_pricing(model: dict) -> bool:
"""Check if model has valid pricing (not free, no negative values)."""
pricing = model.get("pricing", {})
@@ -173,13 +232,29 @@ 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,
@@ -521,6 +596,29 @@ async def test_model(
}
@models_router.get("/v1/models/paths")
@models_router.get("/v1/models/paths/", include_in_schema=False)
async def model_paths() -> dict:
"""All models with every upstream provider path they are reachable through."""
from ..upstream.model_paths import get_all_model_paths
return {"data": await get_all_model_paths()}
@models_router.get("/v1/models/paths/model")
@models_router.get("/v1/models/paths/model/", include_in_schema=False)
async def model_paths_for_model(model_id: str) -> dict:
"""Paths for a single model.
Uses a query parameter (``?model_id=...``) under a fully static route so
model ids containing ``/`` (e.g. ``anthropic/claude-opus-4.6``) need no URL
encoding and there is no dynamic-route ambiguity.
"""
from ..upstream.model_paths import get_paths_for_model
return {"data": await get_paths_for_model(model_id)}
@models_router.get("/v1/models")
@models_router.get("/v1/models/", include_in_schema=False)
@models_router.get("/models")

131
routstr/payment/usage.py Normal file
View File

@@ -0,0 +1,131 @@
"""Vendor-agnostic normalization of upstream usage objects.
Upstream providers report token usage in vendor dialects that differ in field
names and in whether cached tokens are included in the input count:
* OpenAI / Azure / xAI / Groq / Moonshot / Qwen / Gemini-compat: cache reads in
``prompt_tokens_details.cached_tokens``, included in ``prompt_tokens``.
* OpenRouter: same as OpenAI plus cache *writes* in
``prompt_tokens_details.cache_write_tokens``, also included in
``prompt_tokens``.
* litellm-normalized: same nesting, but names the write field
``prompt_tokens_details.cache_creation_tokens`` (and additionally mirrors the
Anthropic top-level fields), with ``prompt_tokens`` as the grand total.
* Anthropic native: ``cache_read_input_tokens`` / ``cache_creation_input_tokens``
top-level, additive to (not included in) ``input_tokens``.
* DeepSeek: ``prompt_cache_hit_tokens`` / ``prompt_cache_miss_tokens``, with
``prompt_tokens = hit + miss``.
What decides whether cached tokens must be subtracted out of the input count is
**which prompt field the vendor uses**, not which cache field appears:
* ``prompt_tokens`` present -> cached + cache-write tokens are *included* in it
(OpenAI family, DeepSeek, OpenRouter, litellm); subtract both so
``input_tokens`` holds only the regular-rate portion.
* only ``input_tokens`` (Anthropic native) -> cached tokens are *additive*;
leave ``input_tokens`` untouched.
``normalize_usage`` maps all of them onto one canonical ``NormalizedUsage``
shape so billing code needs no vendor knowledge. The known dialects' field
names do not collide, so a single union parser is safe; a vendor whose fields
would genuinely conflict needs a dedicated branch here.
"""
from pydantic.v1 import BaseModel
class NormalizedUsage(BaseModel):
"""Canonical token usage: input_tokens never includes cached tokens."""
input_tokens: int = 0
output_tokens: int = 0
cache_read_tokens: int = 0
cache_write_tokens: int = 0
def parse_token_count(value: object) -> int:
"""Parse a token count from various formats (int, float, str, bool)."""
if isinstance(value, bool):
return 0
if isinstance(value, int):
return max(0, value)
if isinstance(value, float):
return max(0, int(value))
if isinstance(value, str):
try:
return max(0, int(float(value)))
except ValueError:
return 0
return 0
def _first_token_count(usage_data: dict, *fields: str) -> int:
"""Return the first positive token count among the given fields."""
for field in fields:
value = parse_token_count(usage_data.get(field, 0))
if value > 0:
return value
return 0
def _extract_cache_tokens(usage_data: dict) -> tuple[int, int]:
"""Pull (cache_read, cache_write) across all known dialects.
Precedence (highest first), independent for reads and writes:
* Anthropic top-level: ``cache_read_input_tokens`` /
``cache_creation_input_tokens``.
* Nested ``prompt_tokens_details``: ``cached_tokens`` for reads;
``cache_creation_tokens`` (litellm) or ``cache_write_tokens``
(OpenRouter) for writes.
* DeepSeek: ``prompt_cache_hit_tokens`` for reads (no write concept).
"""
cache_read = parse_token_count(usage_data.get("cache_read_input_tokens", 0))
cache_write = parse_token_count(usage_data.get("cache_creation_input_tokens", 0))
prompt_details = usage_data.get("prompt_tokens_details")
if isinstance(prompt_details, dict):
if not cache_read:
cache_read = parse_token_count(prompt_details.get("cached_tokens", 0))
if not cache_write:
cache_write = _first_token_count(
prompt_details, "cache_creation_tokens", "cache_write_tokens"
)
if not cache_read:
# DeepSeek: prompt_tokens = prompt_cache_hit_tokens + prompt_cache_miss_tokens
cache_read = parse_token_count(usage_data.get("prompt_cache_hit_tokens", 0))
return cache_read, cache_write
def normalize_usage(usage_data: object) -> NormalizedUsage | None:
"""Map a vendor usage dict onto the canonical shape, or None if absent.
Cached reads and writes are subtracted from the input count exactly once,
only for dialects that report a ``prompt_tokens`` grand total that already
includes them (OpenAI family, DeepSeek, OpenRouter, litellm). Anthropic
native reports them additively under ``input_tokens`` and is left untouched.
"""
if not isinstance(usage_data, dict):
return None
output_tokens = _first_token_count(
usage_data, "completion_tokens", "output_tokens"
)
cache_read, cache_write = _extract_cache_tokens(usage_data)
# ``prompt_tokens`` is the inclusive grand total; ``input_tokens`` (Anthropic
# native) excludes cached tokens. The field chosen decides whether to subtract.
if "prompt_tokens" in usage_data:
input_tokens = parse_token_count(usage_data.get("prompt_tokens", 0))
input_tokens = max(0, input_tokens - cache_read - cache_write)
else:
input_tokens = parse_token_count(usage_data.get("input_tokens", 0))
return NormalizedUsage(
input_tokens=input_tokens,
output_tokens=output_tokens,
cache_read_tokens=cache_read,
cache_write_tokens=cache_write,
)

View File

@@ -24,6 +24,7 @@ from .payment.helpers import (
calculate_discounted_max_cost,
check_token_balance,
create_error_response,
create_upstream_error_response,
get_max_cost_for_model,
)
from .payment.models import Model
@@ -211,9 +212,7 @@ async def proxy(
e,
)
if i == len(all_upstreams) - 1:
last_error_response = create_error_response(
"upstream_error", str(e), 502, request=request
)
last_error_response = create_upstream_error_response(e, request)
continue
return last_error_response or create_error_response(
"upstream_error", "All upstreams failed", 502, request=request
@@ -283,11 +282,10 @@ async def proxy(
last_error = e
continue
if last_error is not None:
return create_upstream_error_response(last_error, request)
return create_error_response(
"upstream_error",
str(last_error) if last_error else "All upstreams failed",
502,
request=request,
"upstream_error", "All upstreams failed", 502, request=request
)
elif auth := headers.get("authorization", None):
@@ -343,9 +341,7 @@ async def proxy(
except UpstreamError as e:
logger.warning(f"Upstream {upstream.provider_type} failed (GET): {e}")
if i == len(upstreams) - 1:
last_error_response = create_error_response(
"upstream_error", str(e), 502, request=request
)
last_error_response = create_upstream_error_response(e, request)
continue
return last_error_response or create_error_response(
"upstream_error", "All upstreams failed", 502, request=request
@@ -525,9 +521,7 @@ async def proxy(
# If this was the last provider
if i == len(upstreams) - 1:
await revert_pay_for_request(key, session, max_cost_for_model)
return create_error_response(
"upstream_error", str(e), 502, request=request
)
return create_upstream_error_response(e, request)
# Otherwise loop continues to next provider
continue

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(

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:

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:

View File

@@ -2,16 +2,16 @@ from __future__ import annotations
import asyncio
import json
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
@@ -23,6 +23,7 @@ from ..core.db import (
store_cashu_transaction,
)
from ..core.exceptions import UpstreamError
from ..core.redaction import redact_org_ids
from ..payment.cost_calculation import (
CostData,
CostDataError,
@@ -35,13 +36,19 @@ from ..payment.models import (
Pricing,
_calculate_usd_max_costs,
_update_model_sats_pricing,
backfill_cache_pricing,
list_models,
)
from ..payment.price import sats_usd_price
from ..wallet import recieve_token, send_token
from . import messages_dispatch
from .cache_breakpoints import (
inject_anthropic_cache_breakpoints,
is_explicit_cache_model,
)
from .count_tokens import count_tokens_locally
from .litellm_routing import detect_litellm_prefix
from .rate_limit import UPSTREAM_RATE_LIMIT, classify_rate_limit
logger = get_logger(__name__)
@@ -84,6 +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] = {}
@@ -98,6 +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 = {}
@@ -115,10 +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
@@ -126,6 +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,
@@ -432,6 +461,19 @@ class BaseUpstreamProvider:
return body
def _upstream_accepts_cache_control(self) -> bool:
"""True when this upstream accepts explicit ``cache_control`` markers.
Only OpenRouter (documents Anthropic + Alibaba explicit caching) and the
native Anthropic API accept the markers. Stamping them toward an
automatic-cache or non-supporting upstream risks a 400, so injection is
confined to these. Base URL is also checked so an OpenRouter endpoint
configured through the generic provider is still recognised.
"""
if self.provider_type in ("openrouter", "anthropic"):
return True
return "openrouter.ai" in (self.base_url or "")
def prepare_request_body(
self, body: bytes | None, model_obj: Model
) -> bytes | None:
@@ -501,6 +543,27 @@ class BaseUpstreamProvider:
data["stream_options"] = merged
changed = True
# Explicit-cache models (Anthropic Claude, Alibaba Qwen / deepseek-v3.2)
# cache nothing without ``cache_control`` markers in the body. Clients
# that don't recognise a routstr URL as one of these never send them, so
# caching silently never engages over routstr even though it works
# against OpenRouter directly. Stamp the standard breakpoints so caching
# works by default, deferring to any client-set markers. Gated to
# upstreams that accept the markers (OpenRouter / Anthropic) so they
# never leak to an automatic-cache provider that would reject them.
if (
"messages" in data
and isinstance(data.get("messages"), list)
and self._upstream_accepts_cache_control()
and is_explicit_cache_model(
model_obj.id,
model_obj.forwarded_model_id,
model_obj.canonical_slug,
)
):
if inject_anthropic_cache_breakpoints(data):
changed = True
if changed:
return json.dumps(data).encode()
return body
@@ -543,7 +606,7 @@ class BaseUpstreamProvider:
preview = body_bytes.decode("utf-8", errors="ignore").strip()
if preview:
message = preview[:500]
return message, upstream_code
return redact_org_ids(message), upstream_code
async def on_upstream_error_redirect(
self, status_code: int, error_message: str
@@ -586,10 +649,23 @@ class BaseUpstreamProvider:
body_bytes = b""
body_read_error = f"{type(exc).__name__}: {exc}"
# ``message`` is already redacted by ``_extract_upstream_error_message``;
# the raw body preview is redacted here before it reaches logs or the
# forwarded envelope so provider account identifiers never leak.
message, upstream_code = self._extract_upstream_error_message(body_bytes)
body_preview = body_bytes.decode("utf-8", errors="ignore").strip()[:500]
body_preview = redact_org_ids(
body_bytes.decode("utf-8", errors="ignore").strip()[:500]
)
is_json_body = _is_json_content_type(content_type)
# Classify upstream rate-limit failures into a stable, structured error.
rate_limit = classify_rate_limit(status_code, message, headers)
error_code: str | int = upstream_code or status_code
error_details: dict[str, object] | None = None
if rate_limit is not None:
error_code = UPSTREAM_RATE_LIMIT
error_details = rate_limit.as_details()
logger.warning(
"Upstream %s returned %s for model=%s path=%s: %s",
self.provider_type,
@@ -603,6 +679,7 @@ class BaseUpstreamProvider:
"model": model_id or "unknown",
"upstream_status": status_code,
"upstream_code": upstream_code,
"error_code": error_code,
"upstream_content_type": content_type,
"upstream_request_id": upstream_request_id,
"message_preview": message[:200],
@@ -637,13 +714,41 @@ class BaseUpstreamProvider:
):
headers.pop(header_name, None)
# Propagate a usable retry hint to the caller when the upstream supplied
# one but did not echo a ``Retry-After`` header. RFC 7231 delta-seconds
# is an integer, so round sub-second hints up to a usable ``1``.
if (
rate_limit is not None
and rate_limit.retry_after_seconds is not None
and "retry-after" not in {k.lower() for k in headers}
):
headers["Retry-After"] = str(max(1, math.ceil(rate_limit.retry_after_seconds)))
if is_json_body:
if not content_type:
headers.pop("content-type", None)
headers.pop("Content-Type", None)
media_type = content_type or None
# Re-serialise the body with organization IDs stripped. The narrow
# ``org-*`` regex preserves the surrounding JSON structure.
redacted_text = redact_org_ids(body_bytes.decode("utf-8", errors="ignore"))
redacted_body = redacted_text.encode()
# Surface the stable rate-limit classification on the forwarded
# body so callers can switch on ``error.code`` without parsing the
# provider-specific message. Fall back to the redacted bytes if the
# body is not a JSON object with an ``error`` mapping.
if rate_limit is not None:
try:
parsed = json.loads(redacted_text)
err = parsed.get("error") if isinstance(parsed, dict) else None
if isinstance(err, dict):
err["code"] = UPSTREAM_RATE_LIMIT
err["details"] = error_details
redacted_body = json.dumps(parsed).encode()
except (ValueError, AttributeError):
pass
return Response(
content=body_bytes,
content=redacted_body,
status_code=status_code,
headers=headers,
media_type=media_type,
@@ -654,15 +759,18 @@ class BaseUpstreamProvider:
for header_name in ("content-type", "Content-Type"):
headers.pop(header_name, None)
error_obj: dict[str, object] = {
"message": message or "Upstream returned a non-JSON error response",
"type": "upstream_error",
"code": error_code,
"upstream_status": status_code,
"upstream_content_type": content_type or None,
"upstream_body_preview": body_preview or None,
}
if error_details is not None:
error_obj["details"] = error_details
envelope = {
"error": {
"message": message or "Upstream returned a non-JSON error response",
"type": "upstream_error",
"code": upstream_code or status_code,
"upstream_status": status_code,
"upstream_content_type": content_type or None,
"upstream_body_preview": body_preview or None,
},
"error": error_obj,
"request_id": getattr(request.state, "request_id", None),
}
@@ -727,7 +835,9 @@ class BaseUpstreamProvider:
except Exception:
pass
def _process_event(raw_event: bytes) -> Iterator[bytes]:
def _process_event(
raw_event: bytes, final: bool = False
) -> Iterator[bytes]:
"""Process one complete SSE event block (lines up to a blank line).
Handles arbitrary upstream framing across every supported
@@ -833,6 +943,12 @@ class BaseUpstreamProvider:
return
yield prefix + b"data: " + json.dumps(obj).encode() + b"\n\n"
else:
if final:
# Final flush of a truncated tail: the upstream closed
# mid-event, so ``data`` is incomplete JSON. Emitting it
# as a ``data:`` frame would hand the client invalid
# JSON (the "unexpected token" parse error). Drop it.
return
# Non-JSON data payload (partial fragment already reassembled
# by buffering, or a provider control string). Re-prefix each
# line so multi-line ``data`` stays valid SSE framing - a bare
@@ -851,7 +967,13 @@ class BaseUpstreamProvider:
# boundary-independent for every provider.
buffer = b""
async for chunk in response.aiter_bytes():
buffer += chunk.replace(b"\r\n", b"\n")
# Normalize the *joined* buffer, not each chunk in
# isolation: a CRLF event delimiter can straddle two
# ``aiter_bytes`` chunks (``...\r`` then ``\n...``). A
# per-chunk replace would leave a stray ``\r`` and the
# ``\n\n`` split would miss the delimiter, merging two
# events into one frame and breaking SSE clients.
buffer = (buffer + chunk).replace(b"\r\n", b"\n")
while b"\n\n" in buffer:
raw_event, buffer = buffer.split(b"\n\n", 1)
for out in _process_event(raw_event):
@@ -859,7 +981,7 @@ class BaseUpstreamProvider:
# Flush any trailing event that lacked a final blank line.
if buffer.strip():
for out in _process_event(buffer):
for out in _process_event(buffer, final=True):
yield out
async with create_session() as session:
@@ -1018,7 +1140,10 @@ class BaseUpstreamProvider:
response_json["id"] = f"chatcmpl-{uuid.uuid4()}"
cost_data = await adjust_payment_for_tokens(
key, response_json, session, deducted_max_cost
key,
response_json,
session,
deducted_max_cost,
)
await session.refresh(key)
@@ -1162,7 +1287,9 @@ class BaseUpstreamProvider:
except Exception:
pass
def _process_event(raw_event: bytes) -> Iterator[bytes]:
def _process_event(
raw_event: bytes, final: bool = False
) -> Iterator[bytes]:
"""Process one complete SSE event block for the Responses API.
Buffers full events (delimited by a blank line) so parsing is
@@ -1232,6 +1359,11 @@ class BaseUpstreamProvider:
yield prefix + b"data: " + json.dumps(obj).encode() + b"\n\n"
else:
if final:
# Final flush of a truncated tail: upstream closed
# mid-event, so ``data`` is incomplete JSON. Dropping it
# avoids handing the client an invalid ``data:`` frame.
return
# Re-prefix each line so multi-line ``data`` stays valid SSE
# framing for the client.
body = b"".join(
@@ -1244,14 +1376,20 @@ class BaseUpstreamProvider:
# delimiter so parsing is independent of byte boundaries.
buffer = b""
async for chunk in response.aiter_bytes():
buffer += chunk.replace(b"\r\n", b"\n")
# Normalize the *joined* buffer, not each chunk in
# isolation: a CRLF event delimiter can straddle two
# ``aiter_bytes`` chunks (``...\r`` then ``\n...``). A
# per-chunk replace would leave a stray ``\r`` and the
# ``\n\n`` split would miss the delimiter, merging two
# events into one frame and breaking SSE clients.
buffer = (buffer + chunk).replace(b"\r\n", b"\n")
while b"\n\n" in buffer:
raw_event, buffer = buffer.split(b"\n\n", 1)
for out in _process_event(raw_event):
yield out
if buffer.strip():
for out in _process_event(buffer):
for out in _process_event(buffer, final=True):
yield out
# Always emit a cost-bearing data chunk
@@ -1436,7 +1574,10 @@ class BaseUpstreamProvider:
response_json["id"] = f"chatcmpl-{uuid.uuid4()}"
cost_data = await adjust_payment_for_tokens(
key, response_json, session, deducted_max_cost
key,
response_json,
session,
deducted_max_cost,
)
await session.refresh(key)
@@ -1631,7 +1772,10 @@ class BaseUpstreamProvider:
"usage": None,
}
cost_data = await adjust_payment_for_tokens(
fresh_key, fallback, new_session, max_cost_for_model
fresh_key,
fallback,
new_session,
max_cost_for_model,
)
usage_finalized = True
return f"event: cost\ndata: {json.dumps({'cost': cost_data})}\n\n".encode()
@@ -1850,7 +1994,10 @@ class BaseUpstreamProvider:
response_json["usage"] = {"input_tokens": input_tokens}
cost_data = await adjust_payment_for_tokens(
key, response_json, session, deducted_max_cost
key,
response_json,
session,
deducted_max_cost,
)
self.inject_cost_metadata(response_json, cost_data, key)
@@ -1952,7 +2099,10 @@ class BaseUpstreamProvider:
response_json["model"] = requested_model
cost_data = await adjust_payment_for_tokens(
key, response_json, session, max_cost_for_model
key,
response_json,
session,
max_cost_for_model,
)
self.inject_cost_metadata(response_json, cost_data, key)
@@ -2440,9 +2590,16 @@ class BaseUpstreamProvider:
body_bytes = await response.aread()
except Exception:
body_bytes = b""
body_preview = body_bytes.decode(
"utf-8", errors="ignore"
).strip()[:500]
# Redact provider account identifiers before the body text
# reaches logs or the raised error.
body_preview = redact_org_ids(
body_bytes.decode("utf-8", errors="ignore").strip()[:500]
)
rate_limit = classify_rate_limit(
response.status_code,
body_preview,
dict(response.headers),
)
logger.error(
"Upstream %s returned %s for model=%s path=%s: %s",
self.provider_type,
@@ -2454,6 +2611,7 @@ class BaseUpstreamProvider:
"provider": self.provider_type,
"model": original_model_id or "unknown",
"status_code": response.status_code,
"error_code": rate_limit.code if rate_limit else None,
"reason_phrase": response.reason_phrase,
"path": path,
"body_preview": body_preview,
@@ -2466,6 +2624,8 @@ class BaseUpstreamProvider:
f"for model {original_model_id or 'unknown'}: "
f"{body_preview[:200] or '<empty>'}",
status_code=response.status_code,
code=rate_limit.code if rate_limit else None,
details=rate_limit.as_details() if rate_limit else None,
)
try:
@@ -2762,9 +2922,16 @@ class BaseUpstreamProvider:
body_bytes = await response.aread()
except Exception:
body_bytes = b""
body_preview = body_bytes.decode(
"utf-8", errors="ignore"
).strip()[:500]
# Redact provider account identifiers before the body text
# reaches logs or the raised error.
body_preview = redact_org_ids(
body_bytes.decode("utf-8", errors="ignore").strip()[:500]
)
rate_limit = classify_rate_limit(
response.status_code,
body_preview,
dict(response.headers),
)
logger.error(
"Upstream %s returned %s for model=%s path=%s: %s",
self.provider_type,
@@ -2776,6 +2943,7 @@ class BaseUpstreamProvider:
"provider": self.provider_type,
"model": original_model_id or "unknown",
"status_code": response.status_code,
"error_code": rate_limit.code if rate_limit else None,
"path": path,
"body_preview": body_preview,
},
@@ -2787,6 +2955,8 @@ class BaseUpstreamProvider:
f"for model {original_model_id or 'unknown'}: "
f"{body_preview[:200] or '<empty>'}",
status_code=response.status_code,
code=rate_limit.code if rate_limit else None,
details=rate_limit.as_details() if rate_limit else None,
)
try:
@@ -3025,44 +3195,46 @@ class BaseUpstreamProvider:
extra={"model": model, "has_usage": "usage" in response_data},
)
async with create_session() as session:
match await calculate_cost(response_data, max_cost_for_model, session):
case MaxCostData() as cost:
logger.debug(
"Using max cost pricing",
extra={"model": model, "max_cost_msats": cost.total_msats},
)
return cost
case CostData() as cost:
logger.debug(
"Using token-based pricing",
extra={
"model": model,
"total_cost_msats": cost.total_msats,
"input_msats": cost.input_msats,
"output_msats": cost.output_msats,
},
)
return cost
case CostDataError() as error:
logger.error(
"Cost calculation error",
extra={
"model": model,
"error_message": error.message,
"error_code": error.code,
},
)
raise HTTPException(
status_code=400,
detail={
"error": {
"message": error.message,
"type": "invalid_request_error",
"code": error.code,
}
},
)
match await calculate_cost(
response_data,
max_cost_for_model,
):
case MaxCostData() as cost:
logger.debug(
"Using max cost pricing",
extra={"model": model, "max_cost_msats": cost.total_msats},
)
return cost
case CostData() as cost:
logger.debug(
"Using token-based pricing",
extra={
"model": model,
"total_cost_msats": cost.total_msats,
"input_msats": cost.input_msats,
"output_msats": cost.output_msats,
},
)
return cost
case CostDataError() as error:
logger.error(
"Cost calculation error",
extra={
"model": model,
"error_message": error.message,
"error_code": error.code,
},
)
raise HTTPException(
status_code=400,
detail={
"error": {
"message": error.message,
"type": "invalid_request_error",
"code": error.code,
}
},
)
return None
async def send_refund(
@@ -4562,14 +4734,19 @@ class BaseUpstreamProvider:
def _apply_provider_fee_to_model(self, model: Model) -> Model:
"""Apply provider fee to model's USD pricing and calculate max costs.
Cache rates missing from the upstream pricing feed are backfilled from
litellm's cost map first, so they carry the provider fee like every
other price component.
Args:
model: Model object to update
Returns:
Model with provider fee applied to pricing and max costs calculated
"""
base_pricing = backfill_cache_pricing(model.id, model.pricing)
adjusted_pricing = Pricing.parse_obj(
{k: v * self.provider_fee for k, v in model.pricing.dict().items()}
{k: v * self.provider_fee for k, v in base_pricing.dict().items()}
)
temp_model = Model(
@@ -4722,14 +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")

View File

@@ -0,0 +1,157 @@
"""Inject explicit prompt-cache breakpoints into OpenAI-shaped requests.
Some upstreams cache *explicitly*: the request must carry
``cache_control: {"type": "ephemeral"}`` markers on the content blocks that
should be cached. Two model families use this identical wire format:
* **Anthropic Claude** — direct or via OpenRouter's ``anthropic/*`` models.
* **Alibaba's explicit-cache models on OpenRouter** — ``qwen/qwen3-max``,
``qwen/qwen-plus``, ``qwen/qwen3.6-plus``, ``qwen/qwen3-coder-plus``,
``qwen/qwen3-coder-flash`` and ``deepseek/deepseek-v3.2`` — which OpenRouter
documents as using "the same syntax as Anthropic explicit caching".
Every other provider routstr proxies (OpenAI, Azure, xAI/Grok, Groq, Moonshot,
default DeepSeek, Gemini implicit, Fireworks) caches *automatically* and needs
no markers — they are left untouched.
A client that doesn't know it is talking to one of these models *through*
routstr (e.g. an OpenAI-compatible coding agent pointed at a routstr URL) never
emits the markers — it only adds them when it recognises the provider as
OpenRouter. So caching silently never engages over routstr even though the same
client caches fine talking to OpenRouter directly.
This module restores caching by stamping the standard breakpoints onto the
forwarded body — the system prompt, the last tool, and the last conversation
message (the format allows up to four; we use three, matching the common
agent convention) — but only when the client supplied none of its own, so
explicit client control always wins. The caller is responsible for only
applying this toward an upstream that accepts the markers (OpenRouter /
Anthropic), so they never leak to a provider that would reject them.
"""
from __future__ import annotations
from typing import Any
# The single ephemeral marker stamped onto each chosen breakpoint. A 5-minute
# TTL (the default for ``ephemeral``) — deliberately not the 1h tier, which
# carries a higher cache-write premium and should stay opt-in.
EPHEMERAL_CACHE_CONTROL: dict[str, str] = {"type": "ephemeral"}
# Alibaba's explicit-cache models on OpenRouter. Matched as substrings of the
# model id (any spelling routstr carries). Snapshot endpoints that OpenRouter
# documents as *not* supporting explicit caching (e.g. ``qwen3.5-plus-02-15``)
# are different families and deliberately absent from this list.
_ALIBABA_EXPLICIT_CACHE_SLUGS: tuple[str, ...] = (
"qwen3-max",
"qwen-plus",
"qwen3.6-plus",
"qwen3-coder-plus",
"qwen3-coder-flash",
"deepseek-v3.2",
)
def is_explicit_cache_model(model_id: str | None, *fallbacks: str | None) -> bool:
"""True when the target model uses the explicit ``cache_control`` dialect.
Covers the Claude family (broadly — every Claude model supports it) and
Alibaba's documented explicit-cache models, across the id spellings routstr
carries: the OpenRouter id (``anthropic/claude-...``, ``qwen/qwen3-max``),
the bare upstream id, and any forwarded/canonical alias.
"""
for candidate in (model_id, *fallbacks):
if not candidate:
continue
lowered = candidate.lower()
if "claude" in lowered or "anthropic/" in lowered:
return True
if any(slug in lowered for slug in _ALIBABA_EXPLICIT_CACHE_SLUGS):
return True
return False
def _has_cache_control(obj: Any) -> bool:
"""Recursively detect any client-supplied ``cache_control`` marker."""
if isinstance(obj, dict):
if "cache_control" in obj:
return True
return any(_has_cache_control(v) for v in obj.values())
if isinstance(obj, list):
return any(_has_cache_control(v) for v in obj)
return False
def body_has_cache_control(data: dict) -> bool:
"""True when the request already carries cache_control on messages/tools."""
return _has_cache_control(data.get("messages")) or _has_cache_control(
data.get("tools")
)
def _stamp_text_content(message: dict) -> bool:
"""Add the ephemeral marker to a message's last text block.
A string content is promoted to the array form Anthropic requires for
cache markers; an existing array gets the marker on its last text part.
Returns True when a marker was placed.
"""
content = message.get("content")
if isinstance(content, str):
if not content:
return False
message["content"] = [
{
"type": "text",
"text": content,
"cache_control": dict(EPHEMERAL_CACHE_CONTROL),
}
]
return True
if isinstance(content, list):
for part in reversed(content):
if isinstance(part, dict) and part.get("type") == "text":
part["cache_control"] = dict(EPHEMERAL_CACHE_CONTROL)
return True
return False
def _stamp_system_prompt(messages: list) -> None:
for message in messages:
if isinstance(message, dict) and message.get("role") in (
"system",
"developer",
):
_stamp_text_content(message)
return
def _stamp_last_tool(tools: Any) -> None:
if isinstance(tools, list) and tools and isinstance(tools[-1], dict):
tools[-1]["cache_control"] = dict(EPHEMERAL_CACHE_CONTROL)
def _stamp_last_conversation_message(messages: list) -> None:
for message in reversed(messages):
if isinstance(message, dict) and message.get("role") in ("user", "assistant"):
if _stamp_text_content(message):
return
def inject_anthropic_cache_breakpoints(data: dict) -> bool:
"""Stamp ephemeral cache breakpoints onto an OpenAI-shaped chat body.
Mutates ``data`` in place (the established convention in
``prepare_request_body``) and returns True when anything changed. No-ops
when the body isn't chat-shaped or the client already set cache_control.
"""
messages = data.get("messages")
if not isinstance(messages, list) or not messages:
return False
if body_has_cache_control(data):
return False
_stamp_system_prompt(messages)
_stamp_last_tool(data.get("tools"))
_stamp_last_conversation_message(messages)
return True

View File

@@ -0,0 +1,73 @@
"""TEMPORARY: local DeepSeek V4 pricing shim.
litellm's bundled cost map does not yet ship ``deepseek-v4-flash`` /
``deepseek-v4-pro``. Without an entry, ``backfill_cache_pricing`` cannot find a
``cache_read_input_token_cost`` and cache reads fall back to the full input
rate — a 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 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).
=== REMOVAL (once litellm ships these models) ===
Delete this file and the single ``register_deepseek_v4_pricing()`` call in
``routstr/core/main.py``. Nothing else depends on it. Entries are only added
when absent, so a stale shim is harmless after upstream lands — but remove it.
"""
import litellm
from ..core import get_logger
logger = get_logger(__name__)
# USD per token. 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-09,
"cache_creation_input_token_cost": 0.0,
"input_cost_per_token_cache_hit": 2.8e-09,
},
"deepseek-v4-pro": {
"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": 3.625e-09,
},
}
def register_deepseek_v4_pricing() -> None:
"""Inject DeepSeek V4 pricing into ``litellm.model_cost`` if absent.
Idempotent and non-destructive: a key already present in the cost map
(e.g. once litellm ships it) is left untouched. Registers both the bare
(``deepseek-v4-flash``) and prefixed (``deepseek/deepseek-v4-flash``)
spellings since ``backfill_cache_pricing`` tries both.
"""
added = []
for bare, rates in _DEEPSEEK_V4_RATES.items():
for key in (bare, f"deepseek/{bare}"):
if key in litellm.model_cost:
continue
entry: dict[str, object] = dict(rates)
entry["litellm_provider"] = "deepseek"
entry["mode"] = "chat"
litellm.model_cost[key] = entry
added.append(key)
if added:
logger.info(
"Registered temporary DeepSeek V4 pricing shim",
extra={"models": added},
)

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(

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(

View File

@@ -45,7 +45,7 @@ class GenericUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "GenericUpstreamProvider":
return cls(

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,

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}",

View File

@@ -29,7 +29,9 @@ import litellm
from ..core import get_logger
from ..core.exceptions import UpstreamError
from ..core.redaction import redact_org_ids
from ..payment.models import Model
from .rate_limit import classify_rate_limit
logger = get_logger(__name__)
@@ -505,23 +507,33 @@ async def dispatch_anthropic_messages(
try:
result = await litellm.anthropic.messages.acreate(**kwargs)
except Exception as exc:
exc_message = getattr(exc, "message", None) or str(exc) or repr(exc)
raw_message = getattr(exc, "message", None) or str(exc) or repr(exc)
# Redact provider account identifiers before the message reaches logs
# or the surfaced error.
exc_message = redact_org_ids(raw_message)
exc_status = getattr(exc, "status_code", None)
exc_response = getattr(exc, "response", None)
response_text = None
if exc_response is not None:
try:
response_text = getattr(exc_response, "text", str(exc_response))
response_text = redact_org_ids(
getattr(exc_response, "text", str(exc_response))
)
except Exception:
response_text = "<unreadable>"
status_for_classify = exc_status if isinstance(exc_status, int) else 502
rate_limit = classify_rate_limit(
status_for_classify, exc_message, getattr(exc, "headers", None)
)
logger.error(
"litellm dispatch failed",
extra={
"error": exc_message,
"error_type": type(exc).__name__,
"status_code": exc_status,
"error_code": rate_limit.code if rate_limit else None,
"llm_provider": getattr(exc, "llm_provider", None),
"body": getattr(exc, "body", None),
"body": redact_org_ids(str(getattr(exc, "body", "") or "")) or None,
"response_text": response_text,
"model": litellm_model,
"api_base": base_url,
@@ -529,7 +541,9 @@ async def dispatch_anthropic_messages(
)
raise UpstreamError(
f"Upstream error via litellm: {exc_message}",
status_code=exc_status if isinstance(exc_status, int) else 502,
status_code=status_for_classify,
code=rate_limit.code if rate_limit else None,
details=rate_limit.as_details() if rate_limit else None,
) from exc
if not client_stream and hasattr(result, "__aiter__"):

View File

@@ -0,0 +1,472 @@
"""Model-path discovery service.
Exposes every upstream provider path a Routstr model is reachable through.
This is discovery/visibility data only — routing still selects the cheapest or
best provider separately.
A *path* is the provider string that may appear in Routstr chat completion
responses (see ``BaseUpstreamProvider._apply_provider_field``):
- Direct upstream -> ``<provider_type>`` e.g. ``anthropic``
- Generic/custom OpenRouter-compatible upstream -> ``generic:<name>``
- Native OpenRouter routing to a sub-provider -> ``openrouter:<name>``
Native OpenRouter does not emit a useful bare ``openrouter`` path when no
sub-provider is present; it reports ``unknown`` instead.
"""
from __future__ import annotations
import asyncio
import random
from typing import TYPE_CHECKING, Callable
import httpx
from sqlalchemy.orm import selectinload
from sqlmodel import col, delete, select
from ..core.db import ModelPathRow, ModelRow, UpstreamProviderRow, create_session
from ..core.logging import get_logger
from .base import BaseUpstreamProvider
if TYPE_CHECKING:
from ..payment.models import Model
logger = get_logger(__name__)
# Bound the per-model OpenRouter /endpoints fan-out so a provider with hundreds
# of models does not open hundreds of concurrent requests every refresh.
_OPENROUTER_CONCURRENCY = 5
_OPENROUTER_TIMEOUT_SECONDS = 10.0
def is_openrouter_base_url(base_url: str | None) -> bool:
"""True when ``base_url`` points at OpenRouter.
Deliberately separate from ``BaseUpstreamProvider._upstream_accepts_cache_control``:
that predicate also returns True for native Anthropic (correct for
cache-control, wrong for OpenRouter endpoint discovery). This one keys only
on the URL so a ``GenericUpstreamProvider`` aimed at OpenRouter is matched
while native Anthropic is not.
"""
return "openrouter.ai" in (base_url or "")
def exposed_model_id(model: object) -> str:
"""Client-visible ``/v1/models`` id for a cached model."""
forwarded = getattr(model, "forwarded_model_id", None)
return forwarded or getattr(model, "id")
def public_model_id(model_id: str) -> str:
"""Model id exposed by model-path API responses.
Provider-prefixed ids such as ``z-ai/glm-5v-turbo`` are returned as
``glm-5v-turbo`` so clients can search and display the same unqualified id
they pass to ``/v1/models/paths/model``.
"""
return model_id.rsplit("/", 1)[-1]
def openrouter_author_slug(model: object) -> str | None:
"""Return a canonical ``author/slug`` for the OpenRouter endpoints API.
OpenRouter requires the canonical id, never ``forwarded_model_id``. Prefer
``canonical_slug``, then a slash-containing ``id``; otherwise there is no
usable form and endpoint discovery is skipped for this model.
"""
canonical = getattr(model, "canonical_slug", None)
if canonical and "/" in canonical:
return canonical
model_id = getattr(model, "id", None)
if model_id and "/" in model_id:
return model_id
return None
async def _fetch_openrouter_endpoint_paths(
client: httpx.AsyncClient,
base_url: str,
api_key: str,
author_slug: str,
path_prefix: str,
semaphore: asyncio.Semaphore,
) -> list[str]:
"""Return ``<path_prefix>:<provider_name>`` paths for one model, or ``[]``.
Failures (network, rate limit, bad payload) are logged and swallowed so one
model never breaks the whole refresh.
"""
url = f"{base_url.rstrip('/')}/models/{author_slug}/endpoints"
headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
async with semaphore:
try:
resp = await client.get(
url, headers=headers, timeout=_OPENROUTER_TIMEOUT_SECONDS
)
except Exception as e: # noqa: BLE001 - isolate per-model failures
logger.warning(
"OpenRouter endpoint discovery request failed",
extra={"author_slug": author_slug, "error": str(e)},
)
return []
if resp.status_code == 429:
logger.warning(
"OpenRouter endpoint discovery rate-limited",
extra={"author_slug": author_slug},
)
return []
if resp.status_code != 200:
logger.warning(
"OpenRouter endpoint discovery non-200",
extra={"author_slug": author_slug, "status_code": resp.status_code},
)
return []
try:
endpoints = resp.json().get("data", {}).get("endpoints", [])
except Exception as e: # noqa: BLE001
logger.warning(
"OpenRouter endpoint discovery bad payload",
extra={"author_slug": author_slug, "error": str(e)},
)
return []
paths: list[str] = []
for endpoint in endpoints:
provider_name = (endpoint or {}).get("provider_name")
if provider_name:
paths.append(f"{path_prefix}:{provider_name}")
# De-duplicate while preserving order.
return list(dict.fromkeys(paths))
async def _load_model_visibility() -> tuple[
dict[str, tuple[ModelRow, float]], set[str], set[int]
]:
"""Load the same DB model visibility inputs used by routing.
``refresh_model_maps`` builds routing from enabled providers, enabled DB
override rows, and disabled model ids. Model-path discovery uses the same
view so the discovery API does not advertise models routing would hide and
reports forwarded aliases from DB overrides consistently with ``/v1/models``.
"""
async with create_session() as session:
query = select(UpstreamProviderRow).options(
selectinload(UpstreamProviderRow.models) # type: ignore[arg-type]
)
provider_rows = (await session.exec(query)).all()
overrides_by_id: dict[str, tuple[ModelRow, float]] = {}
disabled_model_ids: set[str] = set()
enabled_provider_ids: set[int] = set()
for provider in provider_rows:
if not provider.enabled:
continue
if provider.id is not None:
enabled_provider_ids.add(provider.id)
for model in provider.models:
if model.enabled:
overrides_by_id[model.id] = (model, provider.provider_fee)
else:
disabled_model_ids.add(model.id)
return overrides_by_id, disabled_model_ids, enabled_provider_ids
def _row_to_visible_model(
model_id: str,
row: ModelRow,
provider_fee: float,
) -> Model | None:
"""Convert an enabled DB override row into a routed model object."""
from ..payment.models import _row_to_model
try:
return _row_to_model(row, apply_provider_fee=True, provider_fee=provider_fee)
except Exception as exc: # noqa: BLE001 - skip invalid override row
logger.warning(
"Skipping invalid model override while collecting model paths",
extra={
"model_id": model_id,
"upstream_provider_id": getattr(row, "upstream_provider_id", None),
"error": str(exc),
"error_type": type(exc).__name__,
},
)
return None
def _apply_model_visibility(
upstream: BaseUpstreamProvider,
overrides_by_id: dict[str, tuple[ModelRow, float]] | None,
disabled_model_ids: set[str] | None,
) -> list[object]:
"""Return provider models after DB disabled/override state is applied."""
overrides_by_id = overrides_by_id or {}
disabled_model_ids = disabled_model_ids or set()
visible_models: list[object] = []
seen_model_ids: set[str] = set()
for model in upstream.get_cached_models():
model_id = getattr(model, "id", "")
if not getattr(model, "enabled", True) or model_id in disabled_model_ids:
continue
if model_id in overrides_by_id:
override_row, provider_fee = overrides_by_id[model_id]
visible_model = _row_to_visible_model(model_id, override_row, provider_fee)
if visible_model is None:
continue
model = visible_model
if not getattr(model, "enabled", True):
continue
visible_models.append(model)
seen_model_ids.add(model_id.lower())
upstream_provider_id = getattr(upstream, "db_id", None)
if isinstance(upstream_provider_id, int):
for model_id, (override_row, provider_fee) in overrides_by_id.items():
if model_id in disabled_model_ids:
continue
if (
getattr(override_row, "upstream_provider_id", None)
!= upstream_provider_id
):
continue
if model_id.lower() in seen_model_ids:
continue
override_model = _row_to_visible_model(model_id, override_row, provider_fee)
if override_model is None:
continue
if getattr(override_model, "enabled", True):
visible_models.append(override_model)
seen_model_ids.add(model_id.lower())
return visible_models
async def _collect_provider_paths(
upstream: BaseUpstreamProvider,
overrides_by_id: dict[str, tuple[ModelRow, float]] | None = None,
disabled_model_ids: set[str] | None = None,
) -> list[tuple[str, str]]:
"""Collect ``(model_id, path)`` pairs for one provider instance.
Emits the direct ``<provider_type>`` path for normal upstreams. For
OpenRouter-compatible providers, emits one path per OpenRouter sub-provider
endpoint, prefixed the same way response stamping prefixes it.
"""
provider_type = (upstream.provider_type or "").strip()
models = _apply_model_visibility(upstream, overrides_by_id, disabled_model_ids)
is_openrouter = is_openrouter_base_url(upstream.base_url)
pairs: list[tuple[str, str]] = []
if not is_openrouter:
for model in models:
if provider_type:
pairs.append((exposed_model_id(model), provider_type))
return pairs
if not provider_type:
return pairs
semaphore = asyncio.Semaphore(_OPENROUTER_CONCURRENCY)
async with httpx.AsyncClient() as client:
async def _for_model(model: object) -> list[tuple[str, str]]:
author_slug = openrouter_author_slug(model)
if not author_slug:
return []
paths = await _fetch_openrouter_endpoint_paths(
client,
upstream.base_url,
upstream.api_key,
author_slug,
provider_type,
semaphore,
)
model_id = exposed_model_id(model)
return [(model_id, path) for path in paths]
results = await asyncio.gather(
*(_for_model(m) for m in models), return_exceptions=True
)
for result in results:
if isinstance(result, BaseException):
logger.warning(
"OpenRouter endpoint discovery task errored",
extra={"provider": provider_type, "error": str(result)},
)
continue
pairs.extend(result)
return pairs
async def _persist_provider_paths(
upstream_provider_id: int, pairs: list[tuple[str, str]]
) -> None:
"""Replace all rows for ``upstream_provider_id`` with ``pairs``.
Replacement (not upsert) so stale paths disappear when provider config or
upstream availability changes.
"""
unique_pairs = list(dict.fromkeys(pairs))
async with create_session() as session:
await session.exec( # type: ignore[call-overload]
delete(ModelPathRow).where(
col(ModelPathRow.upstream_provider_id) == upstream_provider_id
)
)
for model_id, path in unique_pairs:
session.add(
ModelPathRow(
model_id=model_id,
path=path,
upstream_provider_id=upstream_provider_id,
)
)
await session.commit()
async def _prune_inactive_provider_paths(active_provider_ids: set[int]) -> None:
"""Delete paths for providers no longer present in the live upstream set."""
async with create_session() as session:
stmt = delete(ModelPathRow)
if active_provider_ids:
stmt = stmt.where(
col(ModelPathRow.upstream_provider_id).not_in(active_provider_ids)
)
await session.exec(stmt) # type: ignore[call-overload]
await session.commit()
async def refresh_model_paths(
upstreams: list[BaseUpstreamProvider],
) -> None:
"""Recompute and persist model paths for every enabled provider.
One provider's failure is logged and isolated; it must not break the rest.
"""
(
overrides_by_id,
disabled_model_ids,
enabled_provider_ids,
) = await _load_model_visibility()
active_provider_ids = {
upstream.db_id
for upstream in upstreams
if upstream.db_id is not None and upstream.db_id in enabled_provider_ids
}
await _prune_inactive_provider_paths(active_provider_ids)
for upstream in upstreams:
if upstream.db_id is None or upstream.db_id not in enabled_provider_ids:
continue
try:
pairs = await _collect_provider_paths(
upstream,
overrides_by_id=overrides_by_id,
disabled_model_ids=disabled_model_ids,
)
await _persist_provider_paths(upstream.db_id, pairs)
except Exception as e: # noqa: BLE001 - isolate per-provider failures
logger.error(
"Failed to refresh model paths for provider",
extra={
"provider": upstream.provider_type or upstream.base_url,
"db_id": upstream.db_id,
"error": str(e),
"error_type": type(e).__name__,
},
)
async def refresh_model_paths_periodically(
upstreams_provider: (
Callable[[], list[BaseUpstreamProvider]] | list[BaseUpstreamProvider]
),
) -> None:
"""Background task mirroring ``refresh_upstreams_models_periodically``."""
from ..core.settings import settings
interval = getattr(settings, "model_paths_refresh_interval_seconds", 0)
if not interval or interval <= 0:
logger.info("Model paths refresh disabled (interval <= 0)")
return
def _resolve_upstreams() -> list[BaseUpstreamProvider]:
if callable(upstreams_provider):
return upstreams_provider()
return upstreams_provider
while True:
try:
await refresh_model_paths(_resolve_upstreams())
except asyncio.CancelledError:
break
except Exception as e: # noqa: BLE001
logger.error(
"Error in model paths refresh loop",
extra={"error": str(e), "error_type": type(e).__name__},
)
try:
jitter = max(0.0, float(interval) * 0.1)
await asyncio.sleep(interval + random.uniform(0, jitter))
except asyncio.CancelledError:
break
async def get_all_model_paths() -> list[dict]:
"""All models with their paths, shaped for ``GET /v1/models/paths``."""
async with create_session() as session:
rows = (
await session.exec(select(ModelPathRow).order_by(ModelPathRow.model_id))
).all()
grouped: dict[str, list[dict]] = {}
seen_paths: dict[str, set[str]] = {}
for row in rows:
model_id = public_model_id(row.model_id)
if row.path in seen_paths.setdefault(model_id, set()):
continue
seen_paths[model_id].add(row.path)
grouped.setdefault(model_id, []).append({"path": row.path})
return [{"id": model_id, "paths": paths} for model_id, paths in grouped.items()]
async def get_paths_for_model(model_id: str) -> list[dict]:
"""Paths for a single model, shaped for ``GET /v1/models/paths/model``.
Match by the public, unqualified model id, mirroring the model cache alias
behavior. Both ``deepseek-v4-pro`` and ``deepseek/deepseek-v4-pro`` resolve
every row whose stored id has the same base model id.
"""
requested_id = public_model_id(model_id)
async with create_session() as session:
rows = (
await session.exec(
select(ModelPathRow).order_by(
ModelPathRow.path,
col(ModelPathRow.upstream_provider_id),
ModelPathRow.model_id,
)
)
).all()
seen: set[str] = set()
paths: list[dict] = []
for row in rows:
if public_model_id(row.model_id) != requested_id:
continue
if row.path in seen:
continue
seen.add(row.path)
paths.append({"path": row.path})
return paths

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(

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(

View File

@@ -1,3 +1,4 @@
import json
from typing import TYPE_CHECKING
import httpx
@@ -18,6 +19,38 @@ class OpenRouterUpstreamProvider(BaseUpstreamProvider):
supports_anthropic_messages = True
litellm_provider_prefix = "openrouter/"
def prepare_request_body(
self, body: bytes | None, model_obj: Model
) -> bytes | None:
"""Set provider.require_parameters on tool-use requests.
Without it OpenRouter can route a tool call to an endpoint that doesn't
support function calling and 404 with "No endpoints found that support
tool use". We leave a client-supplied value untouched.
"""
body = super().prepare_request_body(body, model_obj)
if not body:
return body
try:
data = json.loads(body)
except json.JSONDecodeError:
return body
if not isinstance(data, dict) or not data.get("tools"):
return body
provider = data.get("provider")
if not isinstance(provider, dict):
provider = {}
if "require_parameters" in provider:
return body
provider["require_parameters"] = True
data["provider"] = provider
return json.dumps(data).encode()
def _apply_provider_field(self, response_json: object) -> None:
"""Stamp the ``provider`` field for OpenRouter responses.
@@ -57,7 +90,7 @@ class OpenRouterUpstreamProvider(BaseUpstreamProvider):
)
@classmethod
def from_db_row(
def _build_from_row(
cls, provider_row: "UpstreamProviderRow"
) -> "OpenRouterUpstreamProvider":
return cls(

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(

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

View File

@@ -0,0 +1,136 @@
"""Detection and parsing of upstream provider rate-limit errors.
Upstream OpenAI-compatible providers signal rate limits via HTTP 429 and/or a
human-readable message such as::
Rate limit reached for gpt-5.5-2026-04-23 (for limit gpt-5.5) in organization
org-XXXX on tokens per min (TPM): Limit 180000000, Used 180000000,
Requested 8929. Please try again in 2ms.
This module classifies those failures into a stable :data:`UPSTREAM_RATE_LIMIT`
code and extracts useful debugging fields. All retained text is redacted of
organization IDs first.
"""
from __future__ import annotations
import re
from dataclasses import asdict, dataclass
from ..core.redaction import redact_org_ids
# Stable error code callers can switch on to distinguish upstream rate limits
# from generic request failures. The literal value matches the identifier named
# in issue #555 ("UPSTREAM_RATE_LIMIT") so the public API contract is exact.
UPSTREAM_RATE_LIMIT = "UPSTREAM_RATE_LIMIT"
# Message fragments that indicate a rate-limit even when the status code is not
# 429 (some providers wrap it in a 400/500 envelope).
_RATE_LIMIT_MARKERS = (
"rate limit reached",
"rate_limit_exceeded",
"rate limit exceeded",
"too many requests",
)
_MODEL_RE = re.compile(r"Rate limit reached for ([^\s(]+)", re.IGNORECASE)
_LIMIT_NAME_RE = re.compile(r"\(for limit ([^)]+)\)", re.IGNORECASE)
_METRIC_RE = re.compile(r"on ([a-z ]+\((?:TPM|RPM|TPD|RPD|IPM)\))", re.IGNORECASE)
_LIMIT_RE = re.compile(r"Limit (\d+)", re.IGNORECASE)
_USED_RE = re.compile(r"Used (\d+)", re.IGNORECASE)
_REQUESTED_RE = re.compile(r"Requested (\d+)", re.IGNORECASE)
_RETRY_RE = re.compile(r"try again in ([\d.]+)\s*(ms|s)", re.IGNORECASE)
@dataclass
class RateLimitInfo:
"""Structured, redaction-safe view of an upstream rate-limit error."""
code: str
message: str
model: str | None = None
limit_name: str | None = None
metric: str | None = None
limit: int | None = None
used: int | None = None
requested: int | None = None
retry_after_seconds: float | None = None
def as_details(self) -> dict[str, object]:
"""Return a JSON-serialisable dict for embedding in an error envelope."""
return {k: v for k, v in asdict(self).items() if v is not None}
def _looks_like_rate_limit(status_code: int, message: str) -> bool:
if status_code == 429:
return True
lowered = message.lower()
return any(marker in lowered for marker in _RATE_LIMIT_MARKERS)
def _parse_retry_after_header(headers: dict[str, str] | None) -> float | None:
"""Parse a ``Retry-After`` header (delta-seconds form) into seconds."""
if not headers:
return None
raw = headers.get("retry-after") or headers.get("Retry-After")
if raw is None:
return None
try:
return float(str(raw).strip())
except (TypeError, ValueError):
return None
def _int_or_none(match: re.Match[str] | None) -> int | None:
if match is None:
return None
try:
return int(match.group(1))
except (TypeError, ValueError):
return None
def classify_rate_limit(
status_code: int,
message: str,
headers: dict[str, str] | None = None,
) -> RateLimitInfo | None:
"""Classify an upstream error as a rate-limit and extract its fields.
Args:
status_code: HTTP status code from the upstream response.
message: Upstream error message (may contain sensitive identifiers).
headers: Optional upstream response headers, used for ``Retry-After``.
Returns:
A :class:`RateLimitInfo` when the error is a rate-limit, else ``None``.
"""
message = message or ""
if not _looks_like_rate_limit(status_code, message):
return None
redacted = redact_org_ids(message)
model_match = _MODEL_RE.search(redacted)
metric_match = _METRIC_RE.search(redacted)
retry_after = _parse_retry_after_header(headers)
if retry_after is None:
retry_match = _RETRY_RE.search(redacted)
if retry_match is not None:
value = float(retry_match.group(1))
retry_after = value / 1000.0 if retry_match.group(2).lower() == "ms" else value
limit_name_match = _LIMIT_NAME_RE.search(redacted)
return RateLimitInfo(
code=UPSTREAM_RATE_LIMIT,
message=redacted,
model=model_match.group(1) if model_match else None,
limit_name=limit_name_match.group(1).strip() if limit_name_match else None,
metric=metric_match.group(1).strip() if metric_match else None,
limit=_int_or_none(_LIMIT_RE.search(redacted)),
used=_int_or_none(_USED_RE.search(redacted)),
requested=_int_or_none(_REQUESTED_RE.search(redacted)),
retry_after_seconds=retry_after,
)

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

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,

View File

@@ -1,4 +1,5 @@
import asyncio
import re
import time
import typing
from typing import TypedDict
@@ -129,6 +130,72 @@ async def send_token(amount: int, unit: str, mint_url: str | None = None) -> str
return token
# A foreign mint's fee_reserve is a non-binding estimate (NUT-05): the mint may
# demand more when re-quoting or at melt execution. Instead of padding the
# estimate with a safety buffer (which strands the margin at the foreign mint
# on every swap), the swap retries with the amount recomputed from the fees the
# mint actually demands, up to this many attempts.
_MAX_SWAP_ATTEMPTS = 3
_MINT_ERROR_CODE_RE = re.compile(r"\(Code: (\d+)\)")
_MELT_SHORTFALL_RE = re.compile(r"Provided: (\d+), needed: (\d+)")
# Insufficient-melt-inputs failures differ across mint implementations. 11005 is
# the registered "Transaction is not balanced" code (cdk), specific enough to
# trust on the code alone. 11000 is nutshell's generic, unregistered
# TransactionError covering many unrelated failures, so it only counts as a fee
# shortfall alongside the "not enough inputs" detail text. With no code suffix at
# all, that same text is the only signal.
def _net_minted_amount(amount_msat: int, token_unit: str, fees: int) -> int:
"""
Convert the token value minus fees (given in the token unit) into an
amount in the primary mint's unit.
"""
fee_msat = fees * 1000 if token_unit == "sat" else fees
remaining_msat = amount_msat - fee_msat
if settings.primary_mint_unit == "sat":
return int(remaining_msat // 1000)
return int(remaining_msat)
def _melt_insufficient_shortfall(error: Exception) -> int | None:
"""
Classify a melt failure: return the observed shortfall (in the token unit)
when the mint rejected the inputs as insufficient, or None when the failure
is unrelated to fees and must not be retried (e.g. a Lightning payment
failure, where a smaller invoice would not help).
Cashu errors carry no structured amounts (NUT-00 defines only detail/code,
flattened to "Mint Error: <detail> (Code: <code>)" by cashu-py), so the
classification uses the code and the shortfall must be inferred: the
"Provided: X, needed: Y" amounts are nutshell-specific free text and only
refine the shortfall when present; otherwise shrink one unit at a time.
"""
message = str(error)
code_match = _MINT_ERROR_CODE_RE.search(message)
code = code_match.group(1) if code_match is not None else None
has_shortfall_text = "not enough inputs" in message.lower()
match code:
case "11005": # registered TransactionUnbalanced: trust the code
pass
case "11000" if has_shortfall_text: # generic nutshell error: needs the text
pass
case None if has_shortfall_text: # no code suffix: text is the only signal
pass
case _: # other codes, a bare 11000, or no signal: must not retry
return None
amounts = _MELT_SHORTFALL_RE.search(message)
if amounts is not None:
provided, needed = int(amounts.group(1)), int(amounts.group(2))
if needed > provided:
return needed - provided
return 1
async def _calculate_swap_amount(
amount_msat: int,
token_unit: str,
@@ -167,26 +234,18 @@ async def _calculate_swap_amount(
fee_reserve = dummy_melt_quote.fee_reserve
input_fees = token_wallet.get_fees_for_proofs(proofs)
if token_unit == "sat":
fee_msat = (fee_reserve + input_fees) * 1000
else:
fee_msat = fee_reserve + input_fees
amount_msat_after_fee = amount_msat - fee_msat
if settings.primary_mint_unit == "sat":
minted_amount = int(amount_msat_after_fee // 1000)
else:
minted_amount = int(amount_msat_after_fee)
total_fees = fee_reserve + input_fees
minted_amount = _net_minted_amount(amount_msat, token_unit, total_fees)
if minted_amount <= 0:
raise ValueError(f"Fees ({fee_reserve + input_fees} {token_unit}) exceed token amount")
raise ValueError(f"Fees ({total_fees} {token_unit}) exceed token amount")
logger.info(
"swap_to_primary_mint: fee estimation result",
extra={
"token_amount_sat": amount_msat // 1000,
"estimated_fee_sat": fee_msat // 1000,
"estimated_fee": total_fees,
"estimated_fee_unit": token_unit,
"input_fees": input_fees,
"minted_amount": minted_amount,
"minted_unit": settings.primary_mint_unit,
@@ -251,67 +310,116 @@ async def swap_to_primary_mint(
token_obj.proofs,
)
mint_quote = await primary_wallet.request_mint(minted_amount)
logger.info(
"swap_to_primary_mint: mint quote received",
extra={"mint_quote_id": mint_quote.quote},
)
# The estimate above is non-binding: the mint may demand a higher fee on the
# real quote or reject the melt outright. Retry the quote/melt cycle with the
# amount recomputed from the fees the mint actually demands.
observed_extra_fee = 0
attempt = 0
while True:
attempt += 1
mint_quote = await primary_wallet.request_mint(minted_amount)
logger.info(
"swap_to_primary_mint: mint quote received",
extra={"mint_quote_id": mint_quote.quote, "attempt": attempt},
)
melt_quote = await token_wallet.melt_quote(mint_quote.request)
input_fees = token_wallet.get_fees_for_proofs(token_obj.proofs)
total_needed = melt_quote.amount + melt_quote.fee_reserve + input_fees
logger.info(
"swap_to_primary_mint: melt quote received",
extra={
"melt_quote_id": melt_quote.quote,
"melt_amount": melt_quote.amount,
"melt_fee_reserve": melt_quote.fee_reserve,
"input_fees": input_fees,
"total_needed": total_needed,
"token_amount": token_amount,
},
)
if total_needed > token_amount:
logger.warning(
"swap_to_primary_mint: insufficient token amount for melt fees",
melt_quote = await token_wallet.melt_quote(mint_quote.request)
input_fees = token_wallet.get_fees_for_proofs(token_obj.proofs)
total_needed = melt_quote.amount + melt_quote.fee_reserve + input_fees
logger.info(
"swap_to_primary_mint: melt quote received",
extra={
"token_amount": token_amount,
"melt_quote_id": melt_quote.quote,
"melt_amount": melt_quote.amount,
"melt_fee_reserve": melt_quote.fee_reserve,
"input_fees": input_fees,
"total_needed": total_needed,
"shortfall": total_needed - token_amount,
"token_amount": token_amount,
"attempt": attempt,
},
)
raise ValueError(
f"Token amount ({token_amount} {token_obj.unit}) is insufficient to cover "
f"melt fees. Needed: {total_needed} {token_obj.unit} "
f"(amount: {melt_quote.amount} + fee: {melt_quote.fee_reserve} + input_fees: {input_fees})"
)
try:
_ = await token_wallet.melt(
proofs=token_obj.proofs,
invoice=mint_quote.request,
fee_reserve_sat=melt_quote.fee_reserve,
quote_id=melt_quote.quote,
)
except Exception as e:
logger.error(
"swap_to_primary_mint: melt failed",
extra={
"error": str(e),
"error_type": type(e).__name__,
"foreign_mint": token_obj.mint,
"token_amount": token_amount,
"melt_quote_id": melt_quote.quote,
"total_needed": total_needed,
},
)
raise ValueError(
f"Failed to melt token from foreign mint {token_obj.mint}: {e}"
) from e
if total_needed > token_amount:
recomputed = _net_minted_amount(
amount_msat,
token_obj.unit,
melt_quote.fee_reserve + input_fees + observed_extra_fee,
)
if attempt >= _MAX_SWAP_ATTEMPTS or recomputed <= 0:
logger.warning(
"swap_to_primary_mint: insufficient token amount for melt fees",
extra={
"token_amount": token_amount,
"melt_amount": melt_quote.amount,
"melt_fee_reserve": melt_quote.fee_reserve,
"input_fees": input_fees,
"total_needed": total_needed,
"shortfall": total_needed - token_amount,
"attempts": attempt,
},
)
raise ValueError(
f"Token amount ({token_amount} {token_obj.unit}) is insufficient to cover "
f"melt fees. Needed: {total_needed} {token_obj.unit} "
f"(amount: {melt_quote.amount} + fee: {melt_quote.fee_reserve} + input_fees: {input_fees})"
)
logger.warning(
"swap_to_primary_mint: melt quote exceeds token amount, retrying",
extra={
"total_needed": total_needed,
"token_amount": token_amount,
"retry_minted_amount": recomputed,
"attempt": attempt,
},
)
minted_amount = recomputed
continue
try:
_ = await token_wallet.melt(
proofs=token_obj.proofs,
invoice=mint_quote.request,
fee_reserve_sat=melt_quote.fee_reserve,
quote_id=melt_quote.quote,
)
except Exception as e:
shortfall = _melt_insufficient_shortfall(e)
recomputed = 0
if shortfall is not None:
observed_extra_fee += shortfall
recomputed = _net_minted_amount(
amount_msat,
token_obj.unit,
melt_quote.fee_reserve + input_fees + observed_extra_fee,
)
if shortfall is None or attempt >= _MAX_SWAP_ATTEMPTS or recomputed <= 0:
logger.error(
"swap_to_primary_mint: melt failed",
extra={
"error": str(e),
"error_type": type(e).__name__,
"foreign_mint": token_obj.mint,
"token_amount": token_amount,
"melt_quote_id": melt_quote.quote,
"total_needed": total_needed,
"attempts": attempt,
},
)
raise ValueError(
f"Failed to melt token from foreign mint {token_obj.mint}: {e}"
) from e
logger.warning(
"swap_to_primary_mint: mint demanded more than quoted at melt, retrying",
extra={
"shortfall": shortfall,
"retry_minted_amount": recomputed,
"attempt": attempt,
},
)
minted_amount = recomputed
continue
break
logger.info(
"swap_to_primary_mint: melt succeeded, minting on primary",
@@ -441,7 +549,11 @@ async def credit_balance(
.where(col(db.ApiKey.hashed_key) == key.hashed_key)
.values(balance=(db.ApiKey.balance) + amount)
)
await session.exec(stmt) # type: ignore[call-overload]
result = await session.exec(stmt) # type: ignore[call-overload]
# If pruning removed this key after redemption, do not commit a no-op
# balance update and pretend the top-up succeeded.
if (getattr(result, "rowcount", 0) or 0) == 0:
raise ValueError("API key disappeared before credit could be recorded")
await session.commit()
await session.refresh(key)

View File

@@ -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

View File

@@ -0,0 +1,146 @@
"""Regression tests for charging after stale reservation cleanup."""
import time
import uuid
from unittest.mock import patch
import pytest
from sqlmodel.ext.asyncio.session import AsyncSession
from routstr.core.db import ApiKey
from routstr.payment.cost_calculation import CostData
def _make_key(balance: int, reserved: int) -> ApiKey:
return ApiKey(
hashed_key=f"test_{uuid.uuid4().hex}",
balance=balance,
reserved_balance=reserved,
total_spent=0,
total_requests=1,
)
def _cost_data(total_msats: int) -> CostData:
return CostData(
base_msats=0,
input_msats=total_msats // 2,
output_msats=total_msats - total_msats // 2,
total_msats=total_msats,
total_usd=0.0,
input_tokens=100,
output_tokens=100,
)
@pytest.mark.asyncio
async def test_overrun_charges_after_reservation_swept(
integration_session: AsyncSession,
) -> None:
"""Overrun finalize must charge even when the reservation was already released."""
from routstr.auth import adjust_payment_for_tokens
deducted_max_cost = 990 # discounted reservation
actual_token_cost = 1000 # actual cost overruns the reservation
# Sweeper has zeroed reserved_balance but left balance untouched.
key = _make_key(balance=1000, reserved=0)
integration_session.add(key)
await integration_session.commit()
response_data = {
"model": "test-model",
"usage": {"prompt_tokens": 100, "completion_tokens": 100},
}
with patch(
"routstr.auth.calculate_cost",
return_value=_cost_data(actual_token_cost),
):
await adjust_payment_for_tokens(
key, response_data, integration_session, deducted_max_cost
)
await integration_session.refresh(key)
assert key.total_spent == actual_token_cost, (
f"Request was not billed (total_spent={key.total_spent}) — free response bug"
)
assert key.balance == 1000 - actual_token_cost, (
f"Balance not charged: {key.balance}"
)
assert key.balance >= 0
assert key.reserved_balance == 0
@pytest.mark.asyncio
async def test_free_response_path_closed_end_to_end(
integration_session: AsyncSession,
patched_db_engine: None,
) -> None:
"""A reservation released by the real sweeper must not yield a free response."""
from routstr.auth import adjust_payment_for_tokens, pay_for_request
from routstr.core.db import create_session, release_stale_reservations
deducted_max_cost = 990
actual_token_cost = 1000
key_hash = f"test_sweep_{uuid.uuid4().hex}"
async with create_session() as session:
session.add(
ApiKey(
hashed_key=key_hash,
balance=1000,
reserved_balance=0,
total_spent=0,
total_requests=0,
)
)
await session.commit()
# Reserve the request, then backdate reserved_at so the sweeper treats it as
# stale (simulates a stream that outlived stale_reservation_timeout_seconds).
async with create_session() as session:
key = await session.get(ApiKey, key_hash)
assert key is not None
await pay_for_request(key, deducted_max_cost, session)
await session.refresh(key)
assert key.reserved_balance == deducted_max_cost
key.reserved_at = int(time.time()) - 10_000
session.add(key)
await session.commit()
# Sweeper releases the stale reservation without charging.
async with create_session() as session:
released = await release_stale_reservations(session, max_age_seconds=300)
assert released == 1
async with create_session() as session:
key = await session.get(ApiKey, key_hash)
assert key is not None
assert key.reserved_balance == 0, "Precondition: sweeper zeroed the reservation"
response_data = {
"model": "test-model",
"usage": {"prompt_tokens": 100, "completion_tokens": 100},
}
with patch(
"routstr.auth.calculate_cost",
return_value=_cost_data(actual_token_cost),
):
await adjust_payment_for_tokens(
key, response_data, session, deducted_max_cost
)
async with create_session() as session:
final = await session.get(ApiKey, key_hash)
assert final is not None
assert final.total_spent == actual_token_cost, (
f"Free response: total_spent={final.total_spent}, expected {actual_token_cost}"
)
assert final.balance == 1000 - actual_token_cost, (
f"Balance not charged after sweep: {final.balance}"
)
assert final.balance >= 0
assert final.reserved_balance == 0

View File

@@ -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

View File

@@ -0,0 +1,283 @@
"""
Tests for prune_dead_api_keys — the janitor that removes provably-dead 0/0/0
API keys (funded keys fully refunded/expired without ever being used, plus bare
orphans), while protecting keys that are still meaningful.
"""
import time
import uuid
from collections.abc import Awaitable, Callable
from typing import Any, cast
import pytest
from sqlalchemy.sql.dml import Update
from sqlmodel import col, update
from routstr.core.db import (
ApiKey,
CashuTransaction,
LightningInvoice,
create_session,
prune_dead_api_keys,
)
OLD = 100 # min_age_seconds used by the tests
NOW = int(time.time())
LONG_AGO = NOW - 10_000 # well past the grace period
async def _exists(key_hash: str) -> bool:
async with create_session() as session:
return (await session.get(ApiKey, key_hash)) is not None
def _dead_key(created_at: int | None) -> ApiKey:
return ApiKey(
hashed_key=f"dead_{uuid.uuid4().hex}",
balance=0,
reserved_balance=0,
total_spent=0,
total_requests=0,
created_at=created_at,
)
@pytest.mark.asyncio
async def test_prunes_old_refunded_zero_key(patched_db_engine: None) -> None:
"""A funded-then-refunded key (0/0/0, NULL parent, old) is pruned."""
key = _dead_key(LONG_AGO)
async with create_session() as session:
session.add(key)
await session.commit()
async with create_session() as session:
pruned = await prune_dead_api_keys(session, OLD)
assert pruned == 1
assert not await _exists(key.hashed_key)
@pytest.mark.asyncio
async def test_grace_period_protects_fresh_key(patched_db_engine: None) -> None:
"""A dead-looking but recently created key is protected by the grace period."""
key = _dead_key(int(time.time()))
async with create_session() as session:
session.add(key)
await session.commit()
async with create_session() as session:
pruned = await prune_dead_api_keys(session, OLD)
assert pruned == 0
assert await _exists(key.hashed_key)
@pytest.mark.asyncio
async def test_used_key_never_pruned(patched_db_engine: None) -> None:
"""Keys with any spend/requests or live balance are never pruned."""
spent = _dead_key(LONG_AGO)
spent.total_spent = 1
requested = _dead_key(LONG_AGO)
requested.total_requests = 1
funded = _dead_key(LONG_AGO)
funded.balance = 1000
reserved = _dead_key(LONG_AGO)
reserved.reserved_balance = 500
async with create_session() as session:
for k in (spent, requested, funded, reserved):
session.add(k)
await session.commit()
async with create_session() as session:
pruned = await prune_dead_api_keys(session, OLD)
assert pruned == 0
for k in (spent, requested, funded, reserved):
assert await _exists(k.hashed_key)
@pytest.mark.asyncio
async def test_parent_and_child_keys_are_not_pruned(
patched_db_engine: None,
) -> None:
"""Pruning must not orphan child keys or delete valid children."""
parent = _dead_key(LONG_AGO)
child = ApiKey(
hashed_key=f"child_{uuid.uuid4().hex}",
balance=0,
reserved_balance=0,
total_spent=0,
total_requests=0,
created_at=LONG_AGO,
parent_key_hash=parent.hashed_key,
)
async with create_session() as session:
session.add(parent)
session.add(child)
await session.commit()
async with create_session() as session:
pruned = await prune_dead_api_keys(session, OLD)
assert pruned == 0
assert await _exists(parent.hashed_key)
assert await _exists(child.hashed_key)
@pytest.mark.asyncio
async def test_pending_invoice_protects_key(patched_db_engine: None) -> None:
"""A key referenced by a pending topup invoice is never pruned mid-topup."""
key = _dead_key(LONG_AGO)
invoice = LightningInvoice(
id=f"inv_{uuid.uuid4().hex}",
bolt11=f"lnbc_{uuid.uuid4().hex}",
amount_sats=10,
description="topup",
payment_hash=uuid.uuid4().hex,
status="pending",
api_key_hash=key.hashed_key,
purpose="topup",
expires_at=NOW + 10_000,
)
async with create_session() as session:
session.add(key)
session.add(invoice)
await session.commit()
async with create_session() as session:
pruned = await prune_dead_api_keys(session, OLD)
assert pruned == 0
assert await _exists(key.hashed_key)
@pytest.mark.asyncio
async def test_paid_invoice_does_not_protect_key(patched_db_engine: None) -> None:
"""A settled (non-pending) invoice does not keep a dead key alive."""
key = _dead_key(LONG_AGO)
invoice = LightningInvoice(
id=f"inv_{uuid.uuid4().hex}",
bolt11=f"lnbc_{uuid.uuid4().hex}",
amount_sats=10,
description="topup",
payment_hash=uuid.uuid4().hex,
status="paid",
api_key_hash=key.hashed_key,
purpose="topup",
expires_at=NOW - 1,
)
async with create_session() as session:
session.add(key)
session.add(invoice)
await session.commit()
async with create_session() as session:
pruned = await prune_dead_api_keys(session, OLD)
assert pruned == 1
assert not await _exists(key.hashed_key)
@pytest.mark.asyncio
async def test_key_that_becomes_meaningful_during_prune_survives(
patched_db_engine: None, monkeypatch: pytest.MonkeyPatch
) -> None:
"""Revalidate before unlink/delete so a late top-up cannot be pruned."""
key = _dead_key(LONG_AGO)
txn = CashuTransaction(
id=uuid.uuid4().hex,
token="cashuABC",
amount=21,
unit="sat",
type="in",
source="apikey",
api_key_hashed_key=key.hashed_key,
)
async with create_session() as session:
session.add(key)
session.add(txn)
await session.commit()
async with create_session() as session:
original_exec = cast(Callable[..., Awaitable[Any]], session.exec)
topped_up = False
async def exec_with_late_topup(
statement: Any, *args: Any, **kwargs: Any
) -> Any:
nonlocal topped_up
if (
not topped_up
and isinstance(statement, Update)
and getattr(statement.table, "name", None) == "cashu_transactions"
):
topped_up = True
async with create_session() as topup_session:
await topup_session.exec( # type: ignore[call-overload]
update(ApiKey)
.where(col(ApiKey.hashed_key) == key.hashed_key)
.values(balance=42)
)
await topup_session.commit()
return await original_exec(statement, *args, **kwargs)
monkeypatch.setattr(session, "exec", exec_with_late_topup)
pruned = await prune_dead_api_keys(session, OLD)
assert pruned == 0
assert await _exists(key.hashed_key)
async with create_session() as session:
surviving = await session.get(CashuTransaction, txn.id)
assert surviving is not None
assert surviving.api_key_hashed_key == key.hashed_key
@pytest.mark.asyncio
async def test_transaction_audit_trail_preserved(patched_db_engine: None) -> None:
"""Pruning a refunded key keeps its cashu_transactions, unlinked from the key."""
key = _dead_key(LONG_AGO)
txn = CashuTransaction(
id=uuid.uuid4().hex,
token="cashuABC",
amount=21,
unit="sat",
type="in",
source="apikey",
api_key_hashed_key=key.hashed_key,
)
async with create_session() as session:
session.add(key)
session.add(txn)
await session.commit()
async with create_session() as session:
pruned = await prune_dead_api_keys(session, OLD)
assert pruned == 1
assert not await _exists(key.hashed_key)
async with create_session() as session:
surviving = await session.get(CashuTransaction, txn.id)
assert surviving is not None, "Financial audit row must survive key deletion"
assert surviving.api_key_hashed_key is None, "Link must be nulled, not dangling"
assert surviving.amount == 21
@pytest.mark.asyncio
async def test_periodic_prune_disabled_returns_immediately(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""Non-positive intervals disable the janitor."""
from unittest.mock import AsyncMock
from routstr import auth
from routstr.core.settings import settings
monkeypatch.setattr(settings, "dead_key_prune_interval_seconds", 0)
sleep_mock = AsyncMock()
monkeypatch.setattr(auth.asyncio, "sleep", sleep_mock)
await auth.periodic_dead_key_prune()
sleep_mock.assert_not_called()

View File

@@ -0,0 +1,194 @@
"""
Integration tests for reactive swap fee retries via the wallet topup endpoint.
Foreign-mint tokens are swapped to the primary mint using the foreign mint's
melt quote, whose fee_reserve is a non-binding estimate (NUT-05): the mint may
demand more when re-quoting or at melt execution. These tests cover the
endpoint behaviour in those cases:
1. The mint demands one sat more at melt time than every quote reported
(the mint.cubabitcoin.org incident): the swap retries with a smaller
invoice and the topup succeeds, crediting the recomputed amount.
2. The real melt quote reports a higher fee_reserve than the estimate: the
swap re-quotes from the observed fee and the topup succeeds.
3. The mint escalates its fee demands on every attempt: the retry budget is
exhausted and the endpoint returns 400 with a clear error (never 500),
without ever executing a melt.
"""
from collections.abc import Callable
from unittest.mock import AsyncMock, Mock, patch
import pytest
from httpx import AsyncClient, Response
from routstr.core.settings import settings
# Captured at collection time, before the integration_app fixture replaces it
# with the testmint stub that bypasses swapping (see conftest.py).
from routstr.wallet import recieve_token as _real_recieve_token
PRIMARY_MINT = "http://primary:3338"
def _make_swap_mocks(
token_amount: int,
fee_reserves: list[int],
input_fees: int = 0,
mint_url: str = "http://foreign-mint:3338",
) -> tuple[Mock, Mock, Mock]:
"""Return (token, token_wallet, primary_wallet) mocks that act like a mint.
Mint quotes pass the requested amount through their ``request`` field and
melt quotes echo that amount back, so the mocks stay consistent for
whatever amounts the implementation requests. ``fee_reserves`` supplies the
fee_reserve of each successive melt quote (the first serves the estimation
pass); requesting more quotes than provided fails the test.
"""
mock_token = Mock()
mock_token.mint = mint_url
mock_token.unit = "sat"
mock_token.amount = token_amount
mock_token.keysets = ["keyset1"]
mock_token.proofs = [Mock(amount=token_amount)]
mock_token_wallet = Mock()
mock_token_wallet.load_mint = AsyncMock()
mock_token_wallet.load_proofs = AsyncMock()
mock_token_wallet.get_fees_for_proofs = Mock(return_value=input_fees)
mock_primary_wallet = Mock()
mock_primary_wallet.load_mint = AsyncMock()
mock_primary_wallet.load_proofs = AsyncMock()
mock_primary_wallet.available_balance = Mock(amount=0)
mock_primary_wallet.mint = AsyncMock(return_value=Mock())
fees = iter(fee_reserves)
def _next_fee() -> int:
try:
return next(fees)
except StopIteration:
raise AssertionError(
"more melt quotes requested than fee_reserves provided"
) from None
mock_primary_wallet.request_mint = AsyncMock(
side_effect=lambda amount: Mock(quote=f"mint_quote_{amount}", request=amount)
)
mock_token_wallet.melt_quote = AsyncMock(
side_effect=lambda invoice: Mock(
quote=f"melt_quote_{invoice}", amount=invoice, fee_reserve=_next_fee()
)
)
mock_token_wallet.melt = AsyncMock(return_value=Mock())
return mock_token, mock_token_wallet, mock_primary_wallet
def _wallet_router(primary_wallet: Mock, token_wallet: Mock) -> Callable[..., Mock]:
"""Route get_wallet calls to the primary or foreign wallet mock by URL."""
def fake_get_wallet(mint_url: str, unit: str = "sat", load: bool = True) -> Mock:
return primary_wallet if mint_url == PRIMARY_MINT else token_wallet
return fake_get_wallet
async def _post_topup(
client: AsyncClient,
mock_token: Mock,
token_wallet: Mock,
primary_wallet: Mock,
) -> Response:
"""POST /v1/wallet/topup with the swap layer mocked at the mint boundary.
The conftest's testmint stub for recieve_token is swapped back for the
real implementation so the request exercises the actual swap path.
"""
with patch("routstr.wallet.recieve_token", _real_recieve_token):
with patch(
"routstr.wallet.deserialize_token_from_string", return_value=mock_token
):
with patch(
"routstr.wallet.get_wallet",
side_effect=_wallet_router(primary_wallet, token_wallet),
):
with patch.object(settings, "primary_mint", PRIMARY_MINT):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch.object(settings, "cashu_mints", [PRIMARY_MINT]):
return await client.post(
"/v1/wallet/topup",
params={"cashu_token": "cashuAtest_foreign_token"},
)
@pytest.mark.integration
@pytest.mark.asyncio
async def test_topup_retries_when_melt_demands_more_than_quoted(
authenticated_client: AsyncClient,
) -> None:
"""A 179-sat token where every quote reports fee_reserve=1 but the mint
rejects the first melt demanding 180. The retry shrinks the invoice to 177
and the topup credits 177 sats (177_000 msats)."""
mock_token, token_wallet, primary_wallet = _make_swap_mocks(
179, fee_reserves=[1, 1, 1], mint_url="http://mint.cubabitcoin.org"
)
token_wallet.melt.side_effect = [
Exception(
"Mint Error: not enough inputs provided for melt. "
"Provided: 179, needed: 180 (Code: 11000)"
),
Mock(),
]
response = await _post_topup(
authenticated_client, mock_token, token_wallet, primary_wallet
)
assert response.status_code == 200
assert response.json()["msats"] == 177_000
assert token_wallet.melt.call_count == 2
@pytest.mark.integration
@pytest.mark.asyncio
async def test_topup_retries_when_quote_fee_exceeds_estimate(
authenticated_client: AsyncClient,
) -> None:
"""A 1000-sat token estimated at fee 20, but the real quote demands 23.
The retry recomputes 1000 - 23 = 977, which fits, and the topup credits
977 sats (977_000 msats) with a single melt."""
mock_token, token_wallet, primary_wallet = _make_swap_mocks(
1000, fee_reserves=[20, 23, 23]
)
response = await _post_topup(
authenticated_client, mock_token, token_wallet, primary_wallet
)
assert response.status_code == 200
assert response.json()["msats"] == 977_000
assert token_wallet.melt.call_count == 1
@pytest.mark.integration
@pytest.mark.asyncio
async def test_topup_returns_400_when_retries_exhausted(
authenticated_client: AsyncClient,
) -> None:
"""A mint that escalates fee_reserve on every re-quote (1 → 10 → 25 → 50)
exhausts the retry budget: clean 400 with an actionable message, melt never
executed."""
mock_token, token_wallet, primary_wallet = _make_swap_mocks(
1000, fee_reserves=[1, 10, 25, 50]
)
response = await _post_topup(
authenticated_client, mock_token, token_wallet, primary_wallet
)
assert response.status_code == 400
assert "too small to cover swap fees" in response.json()["detail"]
assert token_wallet.melt_quote.call_count == 4 # estimation + 3 attempts
token_wallet.melt.assert_not_called()

View File

@@ -0,0 +1,189 @@
"""Tests for Anthropic cache-breakpoint injection on forwarded requests.
Anthropic prompt caching is explicit; a client that doesn't recognise a routstr
URL as Anthropic-backed never sends ``cache_control`` markers, so caching never
engages over routstr. ``prepare_request_body`` must stamp the standard
breakpoints for Anthropic-family models while always deferring to client-set
markers and never touching automatic-cache providers.
"""
import json
import os
import pytest
os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
os.environ.setdefault("UPSTREAM_API_KEY", "test")
os.environ.setdefault("LIGHTNING_ADDRESS", "test@stm.to")
from routstr.upstream import GenericUpstreamProvider
from routstr.upstream.cache_breakpoints import (
body_has_cache_control,
inject_anthropic_cache_breakpoints,
is_explicit_cache_model,
)
def _chat_body() -> dict:
return {
"model": "anthropic/claude-sonnet-4.5",
"stream": True,
"messages": [
{"role": "system", "content": "You are concise."},
{"role": "user", "content": "Hello"},
],
"tools": [
{"type": "function", "function": {"name": "a"}},
{"type": "function", "function": {"name": "b"}},
],
}
# ---------------------------------------------------------------------------
# Model detection
# ---------------------------------------------------------------------------
@pytest.mark.parametrize(
"model_id,expected",
[
("anthropic/claude-sonnet-4.5", True),
("claude-haiku-4-5-20251001", True),
# Alibaba explicit-cache models share Anthropic's wire format
("qwen/qwen3-max", True),
("qwen/qwen3-coder-plus", True),
("deepseek/deepseek-v3.2", True),
# Automatic-cache providers need no markers
("openai/gpt-4o", False),
("google/gemini-2.5-flash", False),
("deepseek/deepseek-chat", False),
("qwen/qwen3.5-plus-02-15", False), # snapshot, no explicit caching
(None, False),
],
)
def test_is_explicit_cache_model(model_id: str | None, expected: bool) -> None:
assert is_explicit_cache_model(model_id) is expected
def test_is_explicit_cache_model_uses_fallbacks() -> None:
# routstr id is opaque but a forwarded/canonical alias reveals the family.
assert is_explicit_cache_model("model-xyz", None, "anthropic/claude-opus-4.1")
# ---------------------------------------------------------------------------
# Breakpoint placement
# ---------------------------------------------------------------------------
def test_injects_three_breakpoints() -> None:
data = _chat_body()
assert inject_anthropic_cache_breakpoints(data) is True
# system prompt promoted to array form with a marker
system = data["messages"][0]["content"]
assert system == [
{
"type": "text",
"text": "You are concise.",
"cache_control": {"type": "ephemeral"},
}
]
# last tool marked
assert data["tools"][-1]["cache_control"] == {"type": "ephemeral"}
assert "cache_control" not in data["tools"][0]
# last user message marked
user = data["messages"][1]["content"]
assert user[-1]["cache_control"] == {"type": "ephemeral"}
def test_defers_to_client_supplied_cache_control() -> None:
data = _chat_body()
data["messages"][1]["content"] = [
{"type": "text", "text": "Hello", "cache_control": {"type": "ephemeral"}}
]
assert body_has_cache_control(data) is True
# No additional stamping when the client already controls caching.
assert inject_anthropic_cache_breakpoints(data) is False
assert "cache_control" not in data["tools"][-1]
def test_marks_last_text_part_of_array_content() -> None:
data = _chat_body()
data["messages"][1]["content"] = [
{"type": "text", "text": "first"},
{"type": "image_url", "image_url": {"url": "x"}},
{"type": "text", "text": "last"},
]
inject_anthropic_cache_breakpoints(data)
parts = data["messages"][1]["content"]
assert parts[2]["cache_control"] == {"type": "ephemeral"}
assert "cache_control" not in parts[0]
def test_noop_without_messages() -> None:
assert inject_anthropic_cache_breakpoints({"prompt": "x"}) is False
# ---------------------------------------------------------------------------
# prepare_request_body integration
# ---------------------------------------------------------------------------
def _model(model_id: str): # type: ignore[no-untyped-def]
from routstr.payment.models import Architecture, Model, Pricing
return Model(
id=model_id,
name=model_id,
created=0,
description="",
context_length=200000,
architecture=Architecture(
modality="text->text",
input_modalities=["text"],
output_modalities=["text"],
tokenizer="Claude",
instruct_type=None,
),
pricing=Pricing(prompt=0.0, completion=0.0),
)
def _openrouter_provider() -> "GenericUpstreamProvider":
# OpenRouter endpoint via the generic provider — recognised by base URL.
return GenericUpstreamProvider(base_url="https://openrouter.ai/api/v1")
@pytest.mark.parametrize(
"model_id", ["anthropic/claude-sonnet-4.5", "qwen/qwen3-max", "deepseek/deepseek-v3.2"]
)
def test_prepare_request_body_injects_for_explicit_models(model_id: str) -> None:
provider = _openrouter_provider()
body = json.dumps(_chat_body()).encode()
out = provider.prepare_request_body(body, _model(model_id))
assert out is not None
data = json.loads(out)
assert body_has_cache_control(data) is True
assert data["tools"][-1]["cache_control"] == {"type": "ephemeral"}
def test_prepare_request_body_skips_for_automatic_provider_model() -> None:
provider = _openrouter_provider()
body = json.dumps(_chat_body()).encode()
out = provider.prepare_request_body(body, _model("openai/gpt-4o"))
assert out is not None
data = json.loads(out)
assert body_has_cache_control(data) is False
def test_prepare_request_body_skips_when_upstream_rejects_markers() -> None:
# Claude id but a non-OpenRouter/Anthropic upstream → must NOT inject,
# since the markers could be rejected by an upstream that doesn't accept them.
from routstr.upstream import GenericUpstreamProvider
provider = GenericUpstreamProvider(base_url="https://some-gateway.example/v1")
body = json.dumps(_chat_body()).encode()
out = provider.prepare_request_body(body, _model("anthropic/claude-sonnet-4.5"))
assert out is not None
data = json.loads(out)
assert body_has_cache_control(data) is False

View File

@@ -0,0 +1,347 @@
"""Tests for cache-aware pricing of cached input tokens.
Specifies two things:
1. ``backfill_cache_pricing`` — when the OpenRouter model feed omits cache
rates (it does for most DeepSeek models and e.g. openai/gpt-4o), they are
filled from litellm's bundled cost map instead of silently billing cache
reads at the full input rate. Existing OpenRouter values are never
overwritten, and provider fees apply to backfilled rates like any other.
2. ``calculate_cost`` — cached tokens are billed at the cache rates from the
model's sats_pricing; the full input rate remains only as the documented
last resort when no cache rate could be resolved anywhere.
"""
import os
from unittest.mock import Mock, patch
import litellm
import pytest
os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
os.environ.setdefault("UPSTREAM_API_KEY", "test")
os.environ.setdefault("LIGHTNING_ADDRESS", "test@stm.to")
from routstr.core.settings import settings
from routstr.payment.cost_calculation import CostData, calculate_cost
from routstr.payment.models import (
Architecture,
Model,
Pricing,
backfill_cache_pricing,
)
from routstr.upstream import GenericUpstreamProvider
def _make_model(model_id: str, pricing: Pricing) -> Model:
return Model(
id=model_id,
name=model_id,
created=0,
description="",
context_length=64000,
architecture=Architecture(
modality="text->text",
input_modalities=["text"],
output_modalities=["text"],
tokenizer="Other",
instruct_type=None,
),
pricing=pricing,
)
# ============================================================================
# backfill_cache_pricing — litellm as fallback source for missing cache rates
# ============================================================================
def test_backfill_deepseek_cache_read_from_litellm() -> None:
"""deepseek/deepseek-chat has no input_cache_read on OpenRouter; litellm
knows the real rate (10x cheaper than input)."""
pricing = Pricing(prompt=2.8e-07, completion=4.2e-07)
result = backfill_cache_pricing("deepseek/deepseek-chat", pricing)
expected = litellm.model_cost["deepseek/deepseek-chat"][
"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_strips_vendor_prefix_for_litellm_lookup() -> None:
"""OpenRouter ids are vendor-prefixed (openai/gpt-4o); litellm keys most
non-DeepSeek models without the prefix (gpt-4o)."""
pricing = Pricing(prompt=2.5e-06, completion=1e-05)
result = backfill_cache_pricing("openai/gpt-4o", pricing)
expected = litellm.model_cost["gpt-4o"]["cache_read_input_token_cost"]
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."""
pricing = Pricing(prompt=3e-06, completion=1.5e-05)
result = backfill_cache_pricing("anthropic/claude-sonnet-4-5", pricing)
expected = litellm.model_cost["claude-sonnet-4-5"][
"cache_creation_input_token_cost"
]
assert result.input_cache_write == expected
assert result.input_cache_write > pricing.prompt # sanity: write premium
def test_backfill_never_overwrites_openrouter_rates() -> None:
"""When OpenRouter provides a cache rate, it is authoritative."""
pricing = Pricing(
prompt=2.1e-07, completion=7.9e-07, input_cache_read=1.3e-07
)
result = backfill_cache_pricing("deepseek/deepseek-chat", pricing)
assert result.input_cache_read == 1.3e-07
def test_backfill_unknown_model_unchanged() -> None:
"""Models litellm doesn't know stay untouched (last-resort fallback to
the input rate happens later, at billing time)."""
pricing = Pricing(prompt=1e-06, completion=2e-06)
result = backfill_cache_pricing("artificial-dumbness/dumb-1", pricing)
assert result.input_cache_read == 0.0
assert result.input_cache_write == 0.0
def test_provider_fee_applies_to_backfilled_cache_rates() -> None:
"""Backfill happens before the provider fee, so cache rates carry the
same markup as every other price component."""
provider = GenericUpstreamProvider(
base_url="http://upstream.example", provider_fee=2.0
)
model = _make_model(
"deepseek/deepseek-chat", Pricing(prompt=2.8e-07, completion=4.2e-07)
)
adjusted = provider._apply_provider_fee_to_model(model)
litellm_read = litellm.model_cost["deepseek/deepseek-chat"][
"cache_read_input_token_cost"
]
assert adjusted.pricing.input_cache_read == pytest.approx(litellm_read * 2.0)
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
# ============================================================================
@pytest.fixture(autouse=True)
def patch_sats_usd_price() -> None: # type: ignore[misc]
with patch("routstr.payment.cost_calculation.sats_usd_price", return_value=5.0e-5):
yield
@pytest.fixture
def model_pricing(monkeypatch: pytest.MonkeyPatch) -> Mock:
"""Model-based pricing: 1 msat per input token, 2 per output token,
0.1 per cache-read token, 1.25 per cache-write token."""
monkeypatch.setattr(settings, "fixed_pricing", False)
model = Mock()
model.sats_pricing = Pricing(
prompt=0.001,
completion=0.002,
input_cache_read=0.0001,
input_cache_write=0.00125,
)
return model
@pytest.mark.asyncio
async def test_deepseek_cache_hits_billed_at_cache_rate(model_pricing: Mock) -> None:
"""The reported overcharge scenario: a 10k-token prompt with 90% cache
hits costs 2900 msats at honest rates, not the 11000 msats that billing
every prompt token at the full input rate would charge."""
response = {
"model": "deepseek-chat",
"usage": {
"prompt_tokens": 10000,
"completion_tokens": 500,
"prompt_cache_hit_tokens": 9000,
"prompt_cache_miss_tokens": 1000,
},
}
with patch("routstr.proxy.get_model_instance", return_value=model_pricing):
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
# 1000 input @ 1 msat + 9000 cache reads @ 0.1 msat + 500 output @ 2 msat.
# input_msats folds the cache-read cost in (1000 + 900) so a dashboard
# rendering I/O/T sees input + output == total; the cache portion stays
# visible in cache_read_msats.
assert result.cache_read_msats == 900
assert result.output_msats == 1000
assert result.input_msats == 1900
assert result.input_msats + result.output_msats == result.total_msats
assert result.total_msats == 2900
@pytest.mark.asyncio
async def test_anthropic_cache_write_billed_at_write_rate(model_pricing: Mock) -> None:
"""Cache writes carry their premium rate (1.25x input here), instead of
being silently billed at the plain input rate."""
response = {
"model": "claude-sonnet-4-5",
"usage": {
"input_tokens": 300,
"output_tokens": 100,
"cache_read_input_tokens": 500,
"cache_creation_input_tokens": 2000,
},
}
with patch("routstr.proxy.get_model_instance", return_value=model_pricing):
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
# 300 @ 1 + 500 @ 0.1 + 2000 @ 1.25 + 100 @ 2
assert result.cache_read_msats == 50
assert result.cache_creation_msats == 2500
assert result.total_msats == 3050
@pytest.mark.asyncio
async def test_missing_cache_rate_falls_back_to_input_rate(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""Documented last resort: when no cache rate could be resolved anywhere
(OpenRouter and litellm both silent), cache reads bill at the input rate —
never cheaper, never free."""
monkeypatch.setattr(settings, "fixed_pricing", False)
model = Mock()
model.sats_pricing = Pricing(prompt=0.001, completion=0.002)
response = {
"model": "dumb-1",
"usage": {
"prompt_tokens": 10000,
"completion_tokens": 500,
"prompt_cache_hit_tokens": 9000,
"prompt_cache_miss_tokens": 1000,
},
}
with patch("routstr.proxy.get_model_instance", return_value=model):
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
# 1000 @ 1 + 9000 @ 1 (fallback) + 500 @ 2
assert result.total_msats == 11000

View File

@@ -1,10 +1,11 @@
"""Tests for cache token handling in cost calculation.
Covers OpenAI vs Anthropic caching formats, edge cases, and billing accuracy.
Covers OpenAI, Anthropic and DeepSeek caching formats, dialect precedence,
edge cases, and billing accuracy.
"""
import os
from unittest.mock import AsyncMock, patch
from unittest.mock import patch
import pytest
@@ -16,12 +17,6 @@ from routstr.core.settings import settings
from routstr.payment.cost_calculation import CostData, MaxCostData, calculate_cost
@pytest.fixture
def mock_session() -> AsyncMock:
"""Mock AsyncSession for cost calculation tests."""
return AsyncMock()
@pytest.fixture(autouse=True)
def mock_fixed_pricing(monkeypatch: pytest.MonkeyPatch) -> None:
"""Mock settings and price to use fixed pricing."""
@@ -41,7 +36,7 @@ def patch_sats_usd_price() -> None: # type: ignore[misc]
# Test 1: OpenAI Cache Format
# ============================================================================
@pytest.mark.asyncio
async def test_openai_cache_subtraction(mock_session: AsyncMock) -> None:
async def test_openai_cache_subtraction() -> None:
"""OpenAI includes cached_tokens in prompt_tokens, subtract them."""
response = {
"model": "gpt-4",
@@ -53,7 +48,7 @@ async def test_openai_cache_subtraction(mock_session: AsyncMock) -> None:
}
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 1000 # 2000 - 1000
@@ -65,7 +60,7 @@ async def test_openai_cache_subtraction(mock_session: AsyncMock) -> None:
# Test 2: Anthropic Cache Format
# ============================================================================
@pytest.mark.asyncio
async def test_anthropic_cache_additive(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_anthropic_cache_additive(mock_fixed_pricing: None) -> None:
"""Anthropic cache tokens are separate (additive) from input_tokens."""
response = {
"model": "claude-3-5-sonnet",
@@ -76,7 +71,7 @@ async def test_anthropic_cache_additive(mock_session: AsyncMock, mock_fixed_pric
"cache_read_input_tokens": 0,
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 500
@@ -89,7 +84,7 @@ async def test_anthropic_cache_additive(mock_session: AsyncMock, mock_fixed_pric
# Test 3: Invalid Cache (Edge Case)
# ============================================================================
@pytest.mark.asyncio
async def test_cache_read_exceeds_prompt_tokens(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_cache_read_exceeds_prompt_tokens(mock_fixed_pricing: None) -> None:
"""Handle buggy upstream reporting cached > prompt_tokens."""
response = {
"model": "gpt-4",
@@ -101,7 +96,7 @@ async def test_cache_read_exceeds_prompt_tokens(mock_session: AsyncMock, mock_fi
}
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
# Should not go negative
assert isinstance(result, CostData)
@@ -114,7 +109,7 @@ async def test_cache_read_exceeds_prompt_tokens(mock_session: AsyncMock, mock_fi
# Test 4: Malformed Token Values
# ============================================================================
@pytest.mark.asyncio
async def test_malformed_cache_tokens_coerce_to_zero(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_malformed_cache_tokens_coerce_to_zero(mock_fixed_pricing: None) -> None:
"""Handle non-numeric cache token values."""
response = {
"model": "gpt-4",
@@ -127,7 +122,7 @@ async def test_malformed_cache_tokens_coerce_to_zero(mock_session: AsyncMock, mo
}
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
# Both should coerce to 0
assert isinstance(result, CostData)
@@ -139,7 +134,7 @@ async def test_malformed_cache_tokens_coerce_to_zero(mock_session: AsyncMock, mo
# Test 5: Anthropic Cache Not Subtracted
# ============================================================================
@pytest.mark.asyncio
async def test_anthropic_cache_not_subtracted(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_anthropic_cache_not_subtracted(mock_fixed_pricing: None) -> None:
"""Anthropic cache fields should NOT be subtracted from input_tokens."""
response = {
"model": "claude-3-5-sonnet",
@@ -149,7 +144,7 @@ async def test_anthropic_cache_not_subtracted(mock_session: AsyncMock, mock_fixe
"cache_read_input_tokens": 200, # ← Additive, don't subtract
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
# Anthropic: input_tokens stays as-is
assert isinstance(result, CostData)
@@ -161,7 +156,7 @@ async def test_anthropic_cache_not_subtracted(mock_session: AsyncMock, mock_fixe
# Test 6: Only Cache Read, No Regular Input
# ============================================================================
@pytest.mark.asyncio
async def test_only_cache_read_tokens(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_only_cache_read_tokens(mock_fixed_pricing: None) -> None:
"""Handle response with only cache read tokens."""
response = {
"model": "gpt-4",
@@ -173,7 +168,7 @@ async def test_only_cache_read_tokens(mock_session: AsyncMock, mock_fixed_pricin
}
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 0 # max(0, 0 - 1000)
@@ -185,7 +180,7 @@ async def test_only_cache_read_tokens(mock_session: AsyncMock, mock_fixed_pricin
# Test 7: Only Cache Creation
# ============================================================================
@pytest.mark.asyncio
async def test_only_cache_creation_tokens(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_only_cache_creation_tokens(mock_fixed_pricing: None) -> None:
"""Handle response with only cache creation tokens (Anthropic)."""
response = {
"model": "claude-3-5-sonnet",
@@ -196,7 +191,7 @@ async def test_only_cache_creation_tokens(mock_session: AsyncMock, mock_fixed_pr
"cache_read_input_tokens": 0,
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 500
@@ -209,7 +204,7 @@ async def test_only_cache_creation_tokens(mock_session: AsyncMock, mock_fixed_pr
# Test 8: Both Cache Read and Creation
# ============================================================================
@pytest.mark.asyncio
async def test_both_cache_read_and_creation(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_both_cache_read_and_creation(mock_fixed_pricing: None) -> None:
"""Handle response with both cache read and creation."""
response = {
"model": "claude-3-5-sonnet",
@@ -220,7 +215,7 @@ async def test_both_cache_read_and_creation(mock_session: AsyncMock, mock_fixed_
"cache_read_input_tokens": 500,
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 300
@@ -233,7 +228,7 @@ async def test_both_cache_read_and_creation(mock_session: AsyncMock, mock_fixed_
# Test 9: Token Field Fallback
# ============================================================================
@pytest.mark.asyncio
async def test_token_field_fallback_order(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_token_field_fallback_order(mock_fixed_pricing: None) -> None:
"""Verify fallback order for token extraction."""
# When prompt_tokens is not present, fall back to input_tokens
response = {
@@ -243,7 +238,7 @@ async def test_token_field_fallback_order(mock_session: AsyncMock, mock_fixed_pr
"completion_tokens": 50,
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 250
@@ -254,20 +249,21 @@ async def test_token_field_fallback_order(mock_session: AsyncMock, mock_fixed_pr
# Test 10: Float Token Values
# ============================================================================
@pytest.mark.asyncio
async def test_float_token_values_coerced_to_int(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_float_token_values_coerced_to_int(mock_fixed_pricing: None) -> None:
"""Handle float token values by converting to int."""
response = {
"model": "gpt-4",
"usage": {
"prompt_tokens": 100.7, # Float
"completion_tokens": 50.3, # Float
"cache_read_input_tokens": 25.9, # Float
"prompt_tokens_details": {"cached_tokens": 25.9}, # Float
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 100 # Floored
# cached_tokens are part of prompt_tokens (OpenAI dialect) → subtracted: 100 - 25
assert result.input_tokens == 75 # Floored
assert result.output_tokens == 50 # Floored
assert result.cache_read_input_tokens == 25 # Floored
@@ -276,7 +272,7 @@ async def test_float_token_values_coerced_to_int(mock_session: AsyncMock, mock_f
# Test 11: Boolean Cache Tokens
# ============================================================================
@pytest.mark.asyncio
async def test_boolean_cache_tokens_coerced_to_zero(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_boolean_cache_tokens_coerced_to_zero(mock_fixed_pricing: None) -> None:
"""Handle boolean cache token values by coercing to zero."""
response = {
"model": "gpt-4",
@@ -286,7 +282,7 @@ async def test_boolean_cache_tokens_coerced_to_zero(mock_session: AsyncMock, moc
"cache_read_input_tokens": True, # Boolean
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.cache_read_input_tokens == 0 # Boolean coerced to 0
@@ -297,7 +293,7 @@ async def test_boolean_cache_tokens_coerced_to_zero(mock_session: AsyncMock, moc
# Test 12: Zero Cache Tokens
# ============================================================================
@pytest.mark.asyncio
async def test_zero_cache_tokens(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_zero_cache_tokens(mock_fixed_pricing: None) -> None:
"""Handle explicit zero cache tokens."""
response = {
"model": "gpt-4",
@@ -309,21 +305,174 @@ async def test_zero_cache_tokens(mock_session: AsyncMock, mock_fixed_pricing: No
}
}
}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.cache_read_input_tokens == 0
assert result.input_tokens == 100
# ============================================================================
# DeepSeek Cache Format
# DeepSeek emits neither OpenAI's prompt_tokens_details nor Anthropic's
# cache_read_input_tokens — only prompt_cache_hit_tokens and
# prompt_cache_miss_tokens, with the documented guarantee
# prompt_tokens = hit + miss. Hits are ~10x cheaper upstream, so billing
# them as regular input is a large overcharge.
# ============================================================================
@pytest.mark.asyncio
async def test_deepseek_cache_hit_tokens_extracted() -> None:
"""DeepSeek cache hits are extracted and removed from regular input.
Payload shape verbatim from the DeepSeek API reference (usage object).
"""
response = {
"model": "deepseek-chat",
"usage": {
"prompt_tokens": 10000, # = hit + miss
"completion_tokens": 500,
"total_tokens": 10500,
"prompt_cache_hit_tokens": 9000,
"prompt_cache_miss_tokens": 1000,
},
}
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 1000 # only the cache misses
assert result.cache_read_input_tokens == 9000
assert result.output_tokens == 500
@pytest.mark.asyncio
async def test_deepseek_all_tokens_cached() -> None:
"""A fully cached DeepSeek prompt bills zero regular input tokens."""
response = {
"model": "deepseek-chat",
"usage": {
"prompt_tokens": 5000,
"completion_tokens": 100,
"prompt_cache_hit_tokens": 5000,
"prompt_cache_miss_tokens": 0,
},
}
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 0
assert result.cache_read_input_tokens == 5000
@pytest.mark.asyncio
async def test_dialect_precedence_never_double_subtracts() -> None:
"""If a vendor emits both OpenAI-style and DeepSeek-style cache fields for
the same cached tokens, they are counted once, not subtracted twice."""
response = {
"model": "deepseek-chat",
"usage": {
"prompt_tokens": 10000,
"completion_tokens": 500,
"prompt_tokens_details": {"cached_tokens": 9000},
"prompt_cache_hit_tokens": 9000,
"prompt_cache_miss_tokens": 1000,
},
}
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 1000 # 10000 - 9000, applied exactly once
assert result.cache_read_input_tokens == 9000
@pytest.mark.asyncio
async def test_deepseek_malformed_hit_tokens_coerce_to_zero() -> None:
"""Malformed DeepSeek cache fields degrade to billing all input at full
rate instead of crashing or going negative."""
response = {
"model": "deepseek-chat",
"usage": {
"prompt_tokens": 1000,
"completion_tokens": 50,
"prompt_cache_hit_tokens": "garbage",
"prompt_cache_miss_tokens": -5,
},
}
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, CostData)
assert result.input_tokens == 1000
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
# ============================================================================
@pytest.mark.asyncio
async def test_missing_usage_block(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_missing_usage_block(mock_fixed_pricing: None) -> None:
"""When usage is missing, return MaxCostData with zero tokens."""
response = {"model": "gpt-4", "choices": [{"message": {"content": "test"}}]}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, MaxCostData)
assert result.input_tokens == 0
@@ -335,10 +484,10 @@ async def test_missing_usage_block(mock_session: AsyncMock, mock_fixed_pricing:
# Test 14: Null Usage Block
# ============================================================================
@pytest.mark.asyncio
async def test_null_usage_block(mock_session: AsyncMock, mock_fixed_pricing: None) -> None:
async def test_null_usage_block(mock_fixed_pricing: None) -> None:
"""When usage is null, return MaxCostData with zero tokens."""
response = {"model": "gpt-4", "usage": None}
result = await calculate_cost(response, max_cost=100000, session=mock_session)
result = await calculate_cost(response, max_cost=100000)
assert isinstance(result, MaxCostData)
assert result.input_tokens == 0

View File

@@ -500,7 +500,7 @@ async def test_streaming_emits_sse_and_reconciles_cost_at_end() -> None:
captured_cost_call: dict[str, Any] = {}
async def fake_adjust(
fresh_key: Any, combined_data: Any, sess: Any, max_cost: int
fresh_key: Any, combined_data: Any, sess: Any, max_cost: int, usage: Any = None
) -> dict:
captured_cost_call["combined_data"] = combined_data
captured_cost_call["max_cost"] = max_cost
@@ -589,7 +589,7 @@ async def test_streaming_handles_iterator_yielding_raw_sse_bytes() -> None:
captured: dict[str, Any] = {}
async def fake_adjust(
fresh_key: Any, combined_data: Any, sess: Any, max_cost: int
fresh_key: Any, combined_data: Any, sess: Any, max_cost: int, usage: Any = None
) -> dict:
captured["combined_data"] = combined_data
return fake_cost

View File

@@ -0,0 +1,712 @@
"""Tests for the model-path discovery service and endpoints."""
from __future__ import annotations
import asyncio
import json
import os
from contextlib import asynccontextmanager
from types import SimpleNamespace
from typing import Any, AsyncGenerator
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from sqlalchemy.ext.asyncio import AsyncEngine, create_async_engine
from sqlmodel import SQLModel
from sqlmodel.ext.asyncio.session import AsyncSession
os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
os.environ.setdefault("UPSTREAM_API_KEY", "test")
from routstr.core.db import ModelRow, UpstreamProviderRow # noqa: E402
from routstr.payment.models import models_router # noqa: E402
from routstr.upstream import model_paths as mp # noqa: E402
# --------------------------------------------------------------------------- #
# Fakes
# --------------------------------------------------------------------------- #
def _model(
id: str,
*,
forwarded_model_id: str | None = None,
canonical_slug: str | None = None,
enabled: bool = True,
) -> SimpleNamespace:
return SimpleNamespace(
id=id,
forwarded_model_id=forwarded_model_id,
canonical_slug=canonical_slug,
enabled=enabled,
)
def _model_row(
id: str,
*,
upstream_provider_id: int = 1,
forwarded_model_id: str | None = None,
canonical_slug: str | None = None,
enabled: bool = True,
) -> ModelRow:
return ModelRow(
id=id,
upstream_provider_id=upstream_provider_id,
name=id,
created=0,
description="test model",
context_length=8192,
architecture=json.dumps(
{
"modality": "text",
"input_modalities": ["text"],
"output_modalities": ["text"],
"tokenizer": "test",
"instruct_type": None,
}
),
pricing=json.dumps({"prompt": 0.000001, "completion": 0.000002}),
enabled=enabled,
forwarded_model_id=forwarded_model_id,
canonical_slug=canonical_slug,
)
class _FakeProvider:
def __init__(
self,
*,
provider_type: str,
base_url: str,
models: list[SimpleNamespace],
db_id: int | None = 1,
api_key: str = "sk-test",
) -> None:
self.provider_type = provider_type
self.base_url = base_url
self.api_key = api_key
self.db_id = db_id
self._models = models
def get_cached_models(self) -> list[SimpleNamespace]:
return self._models
class _FakeResponse:
def __init__(self, status_code: int, payload: Any) -> None:
self.status_code = status_code
self._payload = payload
def json(self) -> Any:
return self._payload
@pytest.fixture
async def patched_session(
monkeypatch: pytest.MonkeyPatch,
) -> AsyncGenerator[AsyncEngine, None]:
"""Bind the service's ``create_session`` to a fresh in-memory engine."""
engine = create_async_engine("sqlite+aiosqlite:///:memory:")
async with engine.begin() as conn:
await conn.run_sync(SQLModel.metadata.create_all)
# Seed the FK target so ModelPathRow inserts satisfy the constraint.
async with AsyncSession(engine) as session:
for pid in (1, 2):
session.add(
UpstreamProviderRow(
id=pid,
slug=f"p{pid}",
provider_type="anthropic" if pid == 1 else "openrouter",
base_url=f"https://provider-{pid}",
api_key=f"k{pid}",
)
)
await session.commit()
@asynccontextmanager
async def _factory() -> AsyncGenerator[AsyncSession, None]:
async with AsyncSession(engine, expire_on_commit=False) as session:
yield session
monkeypatch.setattr(mp, "create_session", _factory)
yield engine
await engine.dispose()
# --------------------------------------------------------------------------- #
# Predicates / pure helpers
# --------------------------------------------------------------------------- #
def test_is_openrouter_base_url() -> None:
assert mp.is_openrouter_base_url("https://openrouter.ai/api/v1") is True
assert mp.is_openrouter_base_url("https://api.anthropic.com") is False
assert mp.is_openrouter_base_url(None) is False
def test_native_anthropic_not_openrouter() -> None:
"""Native Anthropic must not be treated as OpenRouter-compatible even though
``_upstream_accepts_cache_control`` returns True for it."""
assert mp.is_openrouter_base_url("https://api.anthropic.com/v1") is False
def test_exposed_model_id_prefers_forwarded() -> None:
assert (
mp.exposed_model_id(_model("claude-x", forwarded_model_id="fwd-claude"))
== "fwd-claude"
)
assert mp.exposed_model_id(_model("claude-x")) == "claude-x"
def test_public_model_id_strips_provider_prefix() -> None:
assert mp.public_model_id("z-ai/glm-5v-turbo") == "glm-5v-turbo"
assert mp.public_model_id("gpt-4o-mini") == "gpt-4o-mini"
def test_openrouter_author_slug_uses_canonical_not_forwarded() -> None:
m = _model(
"claude-opus-4.6",
forwarded_model_id="forwarded-only",
canonical_slug="anthropic/claude-opus-4.6",
)
assert mp.openrouter_author_slug(m) == "anthropic/claude-opus-4.6"
def test_openrouter_author_slug_falls_back_to_slash_id() -> None:
m = _model("anthropic/claude-opus-4.6", canonical_slug="claude-opus-4.6")
assert mp.openrouter_author_slug(m) == "anthropic/claude-opus-4.6"
def test_openrouter_author_slug_none_when_no_slash() -> None:
m = _model("claude-opus-4.6", canonical_slug="claude-opus-4.6")
assert mp.openrouter_author_slug(m) is None
# --------------------------------------------------------------------------- #
# Collection
# --------------------------------------------------------------------------- #
@pytest.mark.asyncio
async def test_direct_provider_single_path_uses_provider_type() -> None:
provider = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[_model("claude-opus-4.6")],
)
pairs = await mp._collect_provider_paths(provider) # type: ignore[arg-type]
assert pairs == [("claude-opus-4.6", "anthropic")]
@pytest.mark.asyncio
async def test_direct_path_stores_exposed_model_id() -> None:
provider = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[_model("internal-id", forwarded_model_id="claude-opus-4.6")],
)
pairs = await mp._collect_provider_paths(provider) # type: ignore[arg-type]
assert pairs == [("claude-opus-4.6", "anthropic")]
@pytest.mark.asyncio
async def test_disabled_models_excluded() -> None:
provider = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[
_model("enabled-model"),
_model("disabled-model", enabled=False),
],
)
pairs = await mp._collect_provider_paths(provider) # type: ignore[arg-type]
assert pairs == [("enabled-model", "anthropic")]
@pytest.mark.asyncio
async def test_openrouter_provider_adds_endpoint_paths(
monkeypatch: pytest.MonkeyPatch,
) -> None:
provider = _FakeProvider(
provider_type="openrouter",
base_url="https://openrouter.ai/api/v1",
models=[_model("claude-opus-4.6", canonical_slug="anthropic/claude-opus-4.6")],
)
async def _fake_get(
self: object,
url: str,
headers: object = None,
timeout: object = None,
) -> _FakeResponse:
return _FakeResponse(
200,
{
"data": {
"endpoints": [
{"provider_name": "Anthropic"},
{"provider_name": "Amazon Bedrock"},
]
}
},
)
monkeypatch.setattr("httpx.AsyncClient.get", _fake_get)
pairs = await mp._collect_provider_paths(provider) # type: ignore[arg-type]
assert ("claude-opus-4.6", "openrouter:Anthropic") in pairs
assert ("claude-opus-4.6", "openrouter:Amazon Bedrock") in pairs
assert ("claude-opus-4.6", "openrouter") not in pairs
assert len(pairs) == 2
@pytest.mark.asyncio
async def test_generic_provider_with_openrouter_base_url_discovers(
monkeypatch: pytest.MonkeyPatch,
) -> None:
"""A generic provider pointed at OpenRouter exposes the response-stamped
``generic:<upstream>`` path, not a native ``openrouter:`` path."""
provider = _FakeProvider(
provider_type="generic",
base_url="https://openrouter.ai/api/v1",
models=[_model("claude-opus-4.6", canonical_slug="anthropic/claude-opus-4.6")],
)
async def _fake_get(
self: object,
url: str,
headers: object = None,
timeout: object = None,
) -> _FakeResponse:
return _FakeResponse(
200, {"data": {"endpoints": [{"provider_name": "Anthropic"}]}}
)
monkeypatch.setattr("httpx.AsyncClient.get", _fake_get)
pairs = await mp._collect_provider_paths(provider) # type: ignore[arg-type]
assert pairs == [("claude-opus-4.6", "generic:Anthropic")]
@pytest.mark.asyncio
async def test_openrouter_failure_degrades_gracefully(
monkeypatch: pytest.MonkeyPatch,
) -> None:
provider = _FakeProvider(
provider_type="openrouter",
base_url="https://openrouter.ai/api/v1",
models=[_model("claude-opus-4.6", canonical_slug="anthropic/claude-opus-4.6")],
)
async def _boom(
self: object,
url: str,
headers: object = None,
timeout: object = None,
) -> _FakeResponse:
raise RuntimeError("network down")
monkeypatch.setattr("httpx.AsyncClient.get", _boom)
pairs = await mp._collect_provider_paths(provider) # type: ignore[arg-type]
assert pairs == []
@pytest.mark.asyncio
async def test_openrouter_rate_limit_skips_model(
monkeypatch: pytest.MonkeyPatch,
) -> None:
provider = _FakeProvider(
provider_type="openrouter",
base_url="https://openrouter.ai/api/v1",
models=[_model("claude-opus-4.6", canonical_slug="anthropic/claude-opus-4.6")],
)
async def _rate_limited(
self: object,
url: str,
headers: object = None,
timeout: object = None,
) -> _FakeResponse:
return _FakeResponse(429, {})
monkeypatch.setattr("httpx.AsyncClient.get", _rate_limited)
pairs = await mp._collect_provider_paths(provider) # type: ignore[arg-type]
assert pairs == []
@pytest.mark.asyncio
async def test_openrouter_fanout_is_bounded(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setattr(mp, "_OPENROUTER_CONCURRENCY", 3)
models = [
_model(f"m{i}", canonical_slug=f"author/m{i}") for i in range(20)
]
provider = _FakeProvider(
provider_type="openrouter",
base_url="https://openrouter.ai/api/v1",
models=models,
)
state = {"current": 0, "max": 0}
async def _slow_get(
self: object,
url: str,
headers: object = None,
timeout: object = None,
) -> _FakeResponse:
state["current"] += 1
state["max"] = max(state["max"], state["current"])
await asyncio.sleep(0.02)
state["current"] -= 1
return _FakeResponse(200, {"data": {"endpoints": [{"provider_name": "X"}]}})
monkeypatch.setattr("httpx.AsyncClient.get", _slow_get)
await mp._collect_provider_paths(provider) # type: ignore[arg-type]
assert state["max"] <= 3, f"concurrency exceeded bound: {state['max']}"
# --------------------------------------------------------------------------- #
# Persistence + query
# --------------------------------------------------------------------------- #
@pytest.mark.asyncio
async def test_refresh_replaces_stale_rows(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(1, [("m1", "anthropic"), ("m2", "anthropic")])
first = await mp.get_all_model_paths()
assert {row["id"] for row in first} == {"m1", "m2"}
# Second refresh with a different set — stale m2 must disappear.
await mp._persist_provider_paths(1, [("m1", "anthropic")])
second = await mp.get_all_model_paths()
assert {row["id"] for row in second} == {"m1"}
@pytest.mark.asyncio
async def test_refresh_model_paths_excludes_db_disabled_override(
patched_session: AsyncEngine,
) -> None:
async with AsyncSession(patched_session) as session:
session.add(_model_row("disabled-by-db", enabled=False))
await session.commit()
provider = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[_model("disabled-by-db")],
db_id=1,
)
await mp.refresh_model_paths([provider]) # type: ignore[list-item]
assert await mp.get_all_model_paths() == []
@pytest.mark.asyncio
async def test_refresh_model_paths_uses_db_forwarded_alias(
patched_session: AsyncEngine,
) -> None:
async with AsyncSession(patched_session) as session:
session.add(_model_row("internal-id", forwarded_model_id="public-alias"))
await session.commit()
provider = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[_model("internal-id")],
db_id=1,
)
await mp.refresh_model_paths([provider]) # type: ignore[list-item]
assert await mp.get_all_model_paths() == [
{"id": "public-alias", "paths": [{"path": "anthropic"}]}
]
@pytest.mark.asyncio
async def test_refresh_model_paths_includes_enabled_db_override_missing_from_cache(
patched_session: AsyncEngine,
) -> None:
async with AsyncSession(patched_session) as session:
session.add(_model_row("deployment-id", forwarded_model_id="public-deployment"))
await session.commit()
provider = _FakeProvider(
provider_type="generic",
base_url="https://custom-provider/v1",
models=[],
db_id=1,
)
await mp.refresh_model_paths([provider]) # type: ignore[list-item]
assert await mp.get_all_model_paths() == [
{"id": "public-deployment", "paths": [{"path": "generic"}]}
]
@pytest.mark.asyncio
async def test_refresh_model_paths_prunes_inactive_provider_rows(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(1, [("m1", "anthropic")])
await mp._persist_provider_paths(2, [("m2", "openrouter:Anthropic")])
provider = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[_model("m1")],
db_id=1,
)
await mp.refresh_model_paths([provider]) # type: ignore[list-item]
active_only = await mp.get_all_model_paths()
assert active_only == [{"id": "m1", "paths": [{"path": "anthropic"}]}]
await mp.refresh_model_paths([])
assert await mp.get_all_model_paths() == []
@pytest.mark.asyncio
async def test_refresh_model_paths_skips_disabled_db_provider(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(1, [("stale-model", "anthropic")])
async with AsyncSession(patched_session) as session:
provider_row = await session.get(UpstreamProviderRow, 1)
assert provider_row is not None
provider_row.enabled = False
await session.commit()
provider = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[_model("fresh-model")],
db_id=1,
)
await mp.refresh_model_paths([provider]) # type: ignore[list-item]
assert await mp.get_all_model_paths() == []
@pytest.mark.asyncio
async def test_same_model_two_providers_two_paths(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(1, [("claude-opus-4.6", "anthropic")])
await mp._persist_provider_paths(2, [("claude-opus-4.6", "openrouter:Anthropic")])
data = await mp.get_all_model_paths()
assert len(data) == 1
entry = data[0]
assert entry["id"] == "claude-opus-4.6"
paths = {p["path"] for p in entry["paths"]}
assert paths == {"anthropic", "openrouter:Anthropic"}
# No canonical_id anywhere.
assert "canonical_id" not in entry
assert all("canonical_id" not in p for p in entry["paths"])
@pytest.mark.asyncio
async def test_get_all_model_paths_deduplicates_visible_paths(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(1, [("anthropic/claude-opus-4.6", "anthropic")])
await mp._persist_provider_paths(2, [("claude-opus-4.6", "anthropic")])
assert await mp.get_all_model_paths() == [
{"id": "claude-opus-4.6", "paths": [{"path": "anthropic"}]}
]
@pytest.mark.asyncio
async def test_get_all_model_paths_returns_unqualified_model_ids(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(4, [("z-ai/glm-5v-turbo", "openrouter:Z.AI")])
await mp._persist_provider_paths(5, [("openai/gpt-4o-mini", "openrouter:OpenAI")])
data = await mp.get_all_model_paths()
assert {row["id"] for row in data} == {"glm-5v-turbo", "gpt-4o-mini"}
@pytest.mark.asyncio
async def test_get_paths_for_model_returns_only_paths(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(1, [("claude-opus-4.6", "anthropic")])
await mp._persist_provider_paths(2, [("claude-opus-4.6", "openrouter:Anthropic")])
paths = await mp.get_paths_for_model("claude-opus-4.6")
assert {p["path"] for p in paths} == {"anthropic", "openrouter:Anthropic"}
assert all(set(p.keys()) == {"path"} for p in paths)
assert await mp.get_paths_for_model("does-not-exist") == []
@pytest.mark.asyncio
async def test_get_paths_for_model_falls_back_to_provider_prefixed_id(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(4, [("z-ai/glm-5v-turbo", "openrouter:Z.AI")])
paths = await mp.get_paths_for_model("glm-5v-turbo")
assert paths == [{"path": "openrouter:Z.AI"}]
@pytest.mark.asyncio
async def test_get_paths_for_model_deduplicates_visible_paths(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(1, [("anthropic/claude-opus-4.6", "anthropic")])
await mp._persist_provider_paths(2, [("claude-opus-4.6", "anthropic")])
assert await mp.get_paths_for_model("claude-opus-4.6") == [
{"path": "anthropic"}
]
assert await mp.get_paths_for_model("anthropic/claude-opus-4.6") == [
{"path": "anthropic"}
]
@pytest.mark.asyncio
async def test_get_paths_for_model_merges_prefixed_and_unprefixed_aliases(
patched_session: AsyncEngine,
) -> None:
await mp._persist_provider_paths(7, [("deepseek-v4-pro", "generic")])
await mp._persist_provider_paths(
4, [("deepseek/deepseek-v4-pro", "openrouter:DeepSeek")]
)
short_paths = await mp.get_paths_for_model("deepseek-v4-pro")
prefixed_paths = await mp.get_paths_for_model("deepseek/deepseek-v4-pro")
assert short_paths == [
{"path": "generic"},
{"path": "openrouter:DeepSeek"},
]
assert prefixed_paths == short_paths
@pytest.mark.asyncio
async def test_refresh_model_paths_skips_provider_without_db_id(
patched_session: AsyncEngine,
) -> None:
provider = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[_model("claude-opus-4.6")],
db_id=None,
)
await mp.refresh_model_paths([provider]) # type: ignore[list-item]
assert await mp.get_all_model_paths() == []
@pytest.mark.asyncio
async def test_refresh_model_paths_isolates_provider_failure(
patched_session: AsyncEngine, monkeypatch: pytest.MonkeyPatch
) -> None:
good = _FakeProvider(
provider_type="anthropic",
base_url="https://api.anthropic.com/v1",
models=[_model("claude-opus-4.6")],
db_id=1,
)
bad = _FakeProvider(
provider_type="openrouter",
base_url="https://openrouter.ai/api/v1",
models=[_model("m", canonical_slug="a/m")],
db_id=2,
)
original = mp._collect_provider_paths
async def _maybe_fail(
upstream: Any, *args: Any, **kwargs: Any
) -> list[tuple[str, str]]:
if upstream is bad:
raise RuntimeError("boom")
return await original(upstream, *args, **kwargs) # type: ignore[arg-type]
monkeypatch.setattr(mp, "_collect_provider_paths", _maybe_fail)
await mp.refresh_model_paths([good, bad]) # type: ignore[list-item]
data = await mp.get_all_model_paths()
assert {row["id"] for row in data} == {"claude-opus-4.6"}
# --------------------------------------------------------------------------- #
# Endpoints
# --------------------------------------------------------------------------- #
def _make_model_paths_app() -> FastAPI:
app = FastAPI()
app.include_router(models_router)
return app
def test_model_paths_endpoint_returns_all_paths(
monkeypatch: pytest.MonkeyPatch,
) -> None:
async def _fake_get_all_model_paths() -> list[dict[str, Any]]:
return [
{
"id": "claude-opus-4.6",
"paths": [
{"path": "anthropic"},
{"path": "openrouter:Anthropic"},
],
}
]
monkeypatch.setattr(mp, "get_all_model_paths", _fake_get_all_model_paths)
response = TestClient(_make_model_paths_app()).get("/v1/models/paths")
assert response.status_code == 200
assert response.json() == {
"data": [
{
"id": "claude-opus-4.6",
"paths": [
{"path": "anthropic"},
{"path": "openrouter:Anthropic"},
],
}
]
}
def test_model_paths_for_model_endpoint_accepts_slash_model_id(
monkeypatch: pytest.MonkeyPatch,
) -> None:
calls: list[str] = []
async def _fake_get_paths_for_model(model_id: str) -> list[dict[str, Any]]:
calls.append(model_id)
return [{"path": "generic:Anthropic"}]
monkeypatch.setattr(mp, "get_paths_for_model", _fake_get_paths_for_model)
response = TestClient(_make_model_paths_app()).get(
"/v1/models/paths/model",
params={"model_id": "anthropic/claude-opus-4.6"},
)
assert response.status_code == 200
assert response.json() == {"data": [{"path": "generic:Anthropic"}]}
assert calls == ["anthropic/claude-opus-4.6"]

View File

@@ -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"),
]

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()

View File

@@ -0,0 +1,95 @@
import json
import os
os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
os.environ.setdefault("UPSTREAM_API_KEY", "test")
os.environ.setdefault("LIGHTNING_ADDRESS", "test@stm.to")
from routstr.upstream import GenericUpstreamProvider
from routstr.upstream.openrouter import OpenRouterUpstreamProvider
def _model(model_id: str = "openai/gpt-4o"): # type: ignore[no-untyped-def]
from routstr.payment.models import Architecture, Model, Pricing
return Model(
id=model_id,
name=model_id,
created=0,
description="",
context_length=128000,
architecture=Architecture(
modality="text->text",
input_modalities=["text"],
output_modalities=["text"],
tokenizer="GPT",
instruct_type=None,
),
pricing=Pricing(prompt=0.0, completion=0.0),
)
def _tool_body() -> dict:
return {
"model": "openai/gpt-4o",
"messages": [{"role": "user", "content": "What's the weather?"}],
"tools": [
{
"type": "function",
"function": {"name": "get_weather", "parameters": {}},
}
],
}
def _prepare(provider, body: dict) -> dict: # type: ignore[no-untyped-def]
out = provider.prepare_request_body(json.dumps(body).encode(), _model())
assert out is not None
return json.loads(out)
def test_injects_require_parameters_for_tool_request() -> None:
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), _tool_body())
assert data["provider"]["require_parameters"] is True
def test_generic_provider_on_openrouter_url_is_left_alone() -> None:
# Only OpenRouterUpstreamProvider injects; a generic provider pointed at the
# same base URL doesn't.
provider = GenericUpstreamProvider(base_url="https://openrouter.ai/api/v1")
data = _prepare(provider, _tool_body())
assert "provider" not in data
def test_no_injection_without_tools() -> None:
body = {"model": "openai/gpt-4o", "messages": [{"role": "user", "content": "hi"}]}
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), body)
assert "provider" not in data
def test_empty_tools_list_does_not_inject() -> None:
body = _tool_body()
body["tools"] = []
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), body)
assert "provider" not in data
def test_direct_provider_does_not_inject() -> None:
provider = GenericUpstreamProvider(base_url="https://api.openai.com/v1")
data = _prepare(provider, _tool_body())
assert "provider" not in data
def test_keeps_client_set_require_parameters() -> None:
body = _tool_body()
body["provider"] = {"require_parameters": False}
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), body)
assert data["provider"]["require_parameters"] is False
def test_preserves_other_provider_fields() -> None:
body = _tool_body()
body["provider"] = {"order": ["openai", "azure"]}
data = _prepare(OpenRouterUpstreamProvider(api_key="test"), body)
assert data["provider"]["order"] == ["openai", "azure"]
assert data["provider"]["require_parameters"] is True

View File

@@ -337,3 +337,75 @@ async def test_multiline_non_json_data_each_line_prefixed() -> None:
continue
assert line.startswith(b"data: "), f"bare line leaked to client: {line!r}"
assert b"data: line one" in blob and b"data: line two" in blob
@pytest.mark.asyncio
async def test_crlf_delimiter_split_across_chunk_boundary() -> None:
"""CRLF event delimiter straddling two TCP reads must not merge events.
Regression: a per-chunk ``replace(b"\\r\\n", b"\\n")`` left a stray ``\\r``
when a ``\\r\\n`` of the ``\\r\\n\\r\\n`` delimiter landed at the very end of
one ``aiter_bytes`` chunk and the matching ``\\n`` opened the next. The
``\\n\\n`` split then missed the boundary, glued two events into one frame
with two ``data:`` lines, and the client's ``JSON.parse`` threw on the
concatenated payload (the "unexpected token"/"Extra data" crash).
"""
e1 = b'data: {"id":"x","choices":[{"delta":{"content":"a"}}]}'
e2 = b'data: {"id":"x","choices":[{"delta":{"content":"b"}}]}'
chunks = [
e1 + b"\r\n\r", # delimiter cut mid-CRLF
b"\n" + e2 + b"\r\n\r\n",
b"data: [DONE]\r\n\r\n",
]
out = await _drive(chunks)
# Client-accurate check: a real SSE client concatenates all ``data:`` lines
# *within one event* (events are ``\n\n``-delimited) before parsing. A
# merged frame would surface here as two objects glued into one payload,
# which ``_assert_clean`` (per-line) would miss.
blob = b"".join(out)
contents: list[str] = []
for event in blob.split(b"\n\n"):
datas = [
ln[len(b"data: ") :]
for ln in event.split(b"\n")
if ln.startswith(b"data: ")
]
if not datas:
continue
payload = b"".join(datas)
if payload.strip() == b"[DONE]":
continue
obj = json.loads(payload) # raises if two events were merged into one
for c in obj.get("choices", []):
if "delta" in c:
contents.append(c["delta"]["content"])
assert contents == ["a", "b"]
@pytest.mark.asyncio
async def test_truncated_json_tail_on_connection_close() -> None:
"""A stream that drops mid-event must not emit the partial JSON downstream.
Regression: the end-of-stream flush ran ``_process_event`` on the leftover
buffer unconditionally. When the upstream connection closed mid-event the
leftover was incomplete JSON, which fell through to the raw-forward path and
handed the client a ``data: {partial`` frame -> ``Unterminated string`` parse
error. The truncated tail must be dropped instead.
"""
chunks = [
b'data: {"id":"x","choices":[{"delta":{"content":"ok"}}]}\n\n',
b'data: {"id":"x","choices":[{"delta":{"con', # connection dies here
]
out = await _drive(chunks)
objs = _assert_clean(out) # raises if the partial tail leaked as a data frame
contents = [
c["delta"]["content"]
for o in objs
for c in o.get("choices", [])
if "delta" in c
]
# The one complete chunk is delivered; the truncated fragment is dropped
# entirely (no second delta), and _assert_clean above guarantees nothing
# non-JSON ever reached the client.
assert contents == ["ok"]

View File

@@ -0,0 +1,396 @@
"""Tests for upstream rate-limit detection, classification, and org-ID redaction.
Covers issue #555: upstream OpenAI-compatible providers return rate-limit
errors that embed a sensitive organization ID. The proxy must classify these
distinctly (``UPSTREAM_RATE_LIMIT``), preserve useful debugging fields, and
never emit a raw ``org-*`` identifier in logs, errors, or returned bodies.
"""
from __future__ import annotations
import json
from typing import Any
from unittest.mock import AsyncMock, MagicMock, Mock, patch
import httpx
import pytest
from routstr.core.redaction import redact_org_ids
from routstr.upstream.base import BaseUpstreamProvider
from routstr.upstream.rate_limit import (
UPSTREAM_RATE_LIMIT,
RateLimitInfo,
classify_rate_limit,
)
# The exact scenario from the issue, with a realistic (fake) org identifier.
RAW_ORG_ID = "org-abc123XYZ456def"
RATE_LIMIT_MESSAGE = (
f"Rate limit reached for gpt-5.5-2026-04-23 (for limit gpt-5.5) in "
f"organization {RAW_ORG_ID} on tokens per min (TPM): Limit 180000000, "
f"Used 180000000, Requested 8929. Please try again in 2ms. Visit "
f"https://platform.openai.com/account/rate-limits to learn more."
)
def _make_request(request_id: str = "req-123") -> Mock:
request = Mock(spec=["method", "state"])
request.method = "POST"
request.state = Mock()
request.state.request_id = request_id
return request
def _make_upstream_response(
*,
body: bytes,
status_code: int = 429,
content_type: str | None = "application/json",
extra_headers: dict[str, str] | None = None,
) -> httpx.Response:
headers: dict[str, str] = {}
if content_type is not None:
headers["content-type"] = content_type
if extra_headers:
headers.update(extra_headers)
return httpx.Response(status_code=status_code, headers=headers, content=body)
@pytest.fixture
def provider() -> BaseUpstreamProvider:
return BaseUpstreamProvider(
base_url="https://privateprovider.xyz", api_key="k", provider_fee=1.0
)
# --------------------------------------------------------------------------- #
# Redaction
# --------------------------------------------------------------------------- #
def test_redact_org_ids_replaces_identifier() -> None:
assert RAW_ORG_ID not in redact_org_ids(RATE_LIMIT_MESSAGE)
assert "org-[REDACTED]" in redact_org_ids(RATE_LIMIT_MESSAGE)
def test_redact_org_ids_is_idempotent() -> None:
once = redact_org_ids(RATE_LIMIT_MESSAGE)
assert redact_org_ids(once) == once
def test_redact_org_ids_leaves_unrelated_text() -> None:
assert redact_org_ids("organize the org-chart") == "organize the org-chart"
assert redact_org_ids("") == ""
# --------------------------------------------------------------------------- #
# Classification
# --------------------------------------------------------------------------- #
def test_classify_exact_scenario() -> None:
info = classify_rate_limit(429, RATE_LIMIT_MESSAGE)
assert isinstance(info, RateLimitInfo)
assert info.code == UPSTREAM_RATE_LIMIT
assert info.model == "gpt-5.5-2026-04-23"
assert info.limit_name == "gpt-5.5"
assert info.metric == "tokens per min (TPM)"
assert info.limit == 180000000
assert info.used == 180000000
assert info.requested == 8929
assert info.retry_after_seconds == pytest.approx(0.002)
# Redaction-safe: no raw org id survives into the structured view.
assert RAW_ORG_ID not in info.message
assert RAW_ORG_ID not in json.dumps(info.as_details())
def test_classify_by_status_code_without_marker() -> None:
info = classify_rate_limit(429, "slow down")
assert info is not None
assert info.code == UPSTREAM_RATE_LIMIT
def test_classify_by_message_marker_without_429() -> None:
info = classify_rate_limit(400, "rate_limit_exceeded for this key")
assert info is not None
def test_retry_after_header_takes_precedence() -> None:
info = classify_rate_limit(429, RATE_LIMIT_MESSAGE, {"Retry-After": "12"})
assert info is not None
assert info.retry_after_seconds == pytest.approx(12.0)
def test_non_rate_limit_error_is_not_classified() -> None:
assert classify_rate_limit(400, "invalid request: missing field 'model'") is None
assert classify_rate_limit(500, "internal server error") is None
# --------------------------------------------------------------------------- #
# forward_upstream_error_response integration
# --------------------------------------------------------------------------- #
@pytest.mark.asyncio
async def test_json_rate_limit_body_is_redacted_and_forwarded(
provider: BaseUpstreamProvider,
) -> None:
body = json.dumps(
{"error": {"message": RATE_LIMIT_MESSAGE, "type": "rate_limit_exceeded"}}
).encode()
upstream = _make_upstream_response(body=body, status_code=429)
response = await provider.forward_upstream_error_response(
_make_request(), "v1/chat/completions", upstream
)
assert response.status_code == 429
raw = bytes(response.body).decode()
# No raw organization id may survive in the forwarded body.
assert RAW_ORG_ID not in raw
assert "org-[REDACTED]" in raw
# Body remains valid JSON; the original type is preserved while a stable
# rate-limit code is injected so callers can switch on it.
payload: dict[str, Any] = json.loads(raw)
assert payload["error"]["type"] == "rate_limit_exceeded"
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
assert payload["error"]["details"]["model"] == "gpt-5.5-2026-04-23"
# A retry hint extracted from the message is surfaced as a header.
assert "retry-after" in {k.lower() for k in response.headers}
@pytest.mark.asyncio
async def test_non_json_rate_limit_envelope_uses_stable_code(
provider: BaseUpstreamProvider,
) -> None:
upstream = _make_upstream_response(
body=RATE_LIMIT_MESSAGE.encode(),
status_code=429,
content_type="text/plain",
)
response = await provider.forward_upstream_error_response(
_make_request(), "v1/chat/completions", upstream
)
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
assert payload["error"]["details"]["model"] == "gpt-5.5-2026-04-23"
serialized = json.dumps(payload)
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
@pytest.mark.asyncio
async def test_non_rate_limit_json_error_unchanged(
provider: BaseUpstreamProvider,
) -> None:
body = json.dumps(
{"error": {"message": "missing field 'model'", "type": "invalid_request"}}
).encode()
upstream = _make_upstream_response(body=body, status_code=400)
response = await provider.forward_upstream_error_response(
_make_request(), "v1/chat/completions", upstream
)
assert response.status_code == 400
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["type"] == "invalid_request"
assert "retry-after" not in {k.lower() for k in response.headers}
# --------------------------------------------------------------------------- #
# UpstreamError -> proxy response (preserves code/details/status)
# --------------------------------------------------------------------------- #
def test_create_upstream_error_response_preserves_structure() -> None:
from routstr.core.exceptions import UpstreamError
from routstr.payment.helpers import create_upstream_error_response
info = classify_rate_limit(429, RATE_LIMIT_MESSAGE)
assert info is not None
err = UpstreamError(
f"Upstream error via litellm: {RATE_LIMIT_MESSAGE}",
status_code=429,
code=info.code,
details=info.as_details(),
)
response = create_upstream_error_response(err, _make_request())
# Original upstream status is preserved (not flattened to 502).
assert response.status_code == 429
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["type"] == "upstream_error"
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
assert payload["error"]["details"]["requested"] == 8929
serialized = json.dumps(payload)
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
def test_generic_upstream_error_still_defaults_to_502() -> None:
from routstr.core.exceptions import UpstreamError
from routstr.payment.helpers import create_upstream_error_response
err = UpstreamError("connection refused") # status_code defaults to 502
response = create_upstream_error_response(err, _make_request())
assert response.status_code == 502
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["type"] == "upstream_error"
assert payload["error"]["code"] == 502
assert "details" not in payload["error"]
# --------------------------------------------------------------------------- #
# Structured log-extra redaction
# --------------------------------------------------------------------------- #
def test_security_filter_redacts_org_id_in_extra() -> None:
import logging
from routstr.core.logging import SecurityFilter
record = logging.LogRecord(
name="test",
level=logging.ERROR,
pathname=__file__,
lineno=1,
msg="upstream failed",
args=(),
exc_info=None,
)
# Simulate an ``extra={"body_preview": ...}`` field carrying an org id.
setattr(record, "body_preview", RATE_LIMIT_MESSAGE)
assert SecurityFilter().filter(record) is True
redacted: str = getattr(record, "body_preview")
assert RAW_ORG_ID not in redacted
assert "org-[REDACTED]" in redacted
def test_security_filter_redacts_org_id_in_nested_extra() -> None:
import logging
from routstr.core.logging import SecurityFilter
record = logging.LogRecord(
name="test",
level=logging.ERROR,
pathname=__file__,
lineno=1,
msg="upstream failed",
args=(),
exc_info=None,
)
# Nested structures: dict containing a list containing the org id.
setattr(record, "body", {"error": {"messages": [RATE_LIMIT_MESSAGE]}})
assert SecurityFilter().filter(record) is True
serialized = json.dumps(getattr(record, "body"))
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
# --------------------------------------------------------------------------- #
# 5xx-wrapped rate limit through forward_upstream_error_response
# --------------------------------------------------------------------------- #
@pytest.mark.asyncio
async def test_5xx_wrapped_rate_limit_is_classified(
provider: BaseUpstreamProvider,
) -> None:
# Some providers wrap a rate-limit in a 5xx envelope; classification must
# key off the message marker, not only the 429 status.
body = json.dumps({"error": {"message": RATE_LIMIT_MESSAGE}}).encode()
upstream = _make_upstream_response(body=body, status_code=500)
response = await provider.forward_upstream_error_response(
_make_request(), "v1/chat/completions", upstream
)
assert response.status_code == 500
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
serialized = json.dumps(payload)
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
# --------------------------------------------------------------------------- #
# Real proxy loop: structured error surfaced + reservation reverted once
# --------------------------------------------------------------------------- #
@pytest.mark.asyncio
async def test_proxy_loop_surfaces_rate_limit_and_reverts_once() -> None:
from routstr import proxy as proxy_module
from routstr.core.db import ApiKey
from routstr.core.exceptions import UpstreamError
info = classify_rate_limit(429, RATE_LIMIT_MESSAGE)
assert info is not None
key = ApiKey(hashed_key="rlkey", balance=10_000)
request = MagicMock()
request.method = "POST"
request.headers = {"authorization": "Bearer sk-rlkey"}
request.body = AsyncMock(return_value=b'{"model": "test-model"}')
request.state = MagicMock()
request.state.request_id = "req-rl"
upstream = MagicMock()
upstream.provider_type = "test"
upstream.prepare_headers = MagicMock(side_effect=lambda h: h)
upstream.forward_request = AsyncMock(
side_effect=UpstreamError(
f"Upstream error via litellm: {RATE_LIMIT_MESSAGE}",
status_code=429,
code=info.code,
details=info.as_details(),
)
)
session = MagicMock()
revert_mock = AsyncMock(return_value=True)
with (
patch.object(proxy_module, "get_model_instance", return_value=MagicMock()),
patch.object(proxy_module, "get_provider_for_model", return_value=[upstream]),
patch.object(
proxy_module, "get_max_cost_for_model", AsyncMock(return_value=1_000)
),
patch.object(
proxy_module,
"calculate_discounted_max_cost",
AsyncMock(return_value=1_000),
),
patch.object(proxy_module, "check_token_balance", MagicMock()),
patch.object(
proxy_module, "get_bearer_token_key", AsyncMock(return_value=key)
),
patch.object(proxy_module, "pay_for_request", AsyncMock(return_value=1_000)),
patch.object(proxy_module, "revert_pay_for_request", revert_mock),
):
response = await proxy_module.proxy(
request, "v1/chat/completions", session=session
)
# Original 429 status and the stable code/details survive to the client.
assert response.status_code == 429
payload: dict[str, Any] = json.loads(bytes(response.body))
assert payload["error"]["type"] == "upstream_error"
assert payload["error"]["code"] == UPSTREAM_RATE_LIMIT
assert payload["error"]["details"]["requested"] == 8929
serialized = json.dumps(payload)
assert RAW_ORG_ID not in serialized
assert "org-[REDACTED]" in serialized
# Single upstream failed -> reservation reverted exactly once (no double-charge).
revert_mock.assert_awaited_once_with(key, session, 1_000)

View File

@@ -0,0 +1,140 @@
"""Tests for vendor-agnostic usage normalization.
Specifies the seam that keeps vendor usage dialects out of generic billing
code: a canonical ``NormalizedUsage`` shape produced by
``routstr.payment.usage.normalize_usage`` (union parser for the known,
non-colliding dialects). ``calculate_cost`` normalizes the response's usage
object with this parser and needs no vendor knowledge of its own.
"""
import os
os.environ.setdefault("UPSTREAM_BASE_URL", "http://test")
os.environ.setdefault("UPSTREAM_API_KEY", "test")
os.environ.setdefault("LIGHTNING_ADDRESS", "test@stm.to")
import pytest
from routstr.payment.usage import NormalizedUsage, normalize_usage
# ============================================================================
# The union parser: one canonical shape for all known dialects
# ============================================================================
@pytest.mark.parametrize(
"usage,expected",
[
# OpenAI: cached_tokens included in prompt_tokens → subtracted
(
{
"prompt_tokens": 2000,
"completion_tokens": 100,
"prompt_tokens_details": {"cached_tokens": 800},
},
NormalizedUsage(
input_tokens=1200,
output_tokens=100,
cache_read_tokens=800,
cache_write_tokens=0,
),
),
# DeepSeek: hit/miss fields, prompt_tokens = hit + miss → hit subtracted
(
{
"prompt_tokens": 10000,
"completion_tokens": 500,
"prompt_cache_hit_tokens": 9000,
"prompt_cache_miss_tokens": 1000,
},
NormalizedUsage(
input_tokens=1000,
output_tokens=500,
cache_read_tokens=9000,
cache_write_tokens=0,
),
),
# Anthropic: cache fields additive, input_tokens NOT reduced
(
{
"input_tokens": 300,
"output_tokens": 100,
"cache_read_input_tokens": 500,
"cache_creation_input_tokens": 2000,
},
NormalizedUsage(
input_tokens=300,
output_tokens=100,
cache_read_tokens=500,
cache_write_tokens=2000,
),
),
# Plain OpenAI without caching
(
{"prompt_tokens": 100, "completion_tokens": 50},
NormalizedUsage(input_tokens=100, output_tokens=50),
),
# OpenRouter: cache writes nested as prompt_tokens_details.cache_write_tokens,
# both reads and writes included in prompt_tokens → both subtracted
(
{
"prompt_tokens": 10000,
"completion_tokens": 60,
"prompt_tokens_details": {
"cached_tokens": 5000,
"cache_write_tokens": 2000,
},
},
NormalizedUsage(
input_tokens=3000,
output_tokens=60,
cache_read_tokens=5000,
cache_write_tokens=2000,
),
),
# litellm-normalized Anthropic: prompt_tokens is the grand total and the
# write field is named cache_creation_tokens; top-level fields mirror it.
# prompt_tokens present → both subtracted (NOT additive like native).
(
{
"prompt_tokens": 10000,
"completion_tokens": 100,
"cache_read_input_tokens": 5000,
"cache_creation_input_tokens": 2000,
"prompt_tokens_details": {
"cached_tokens": 5000,
"cache_creation_tokens": 2000,
},
},
NormalizedUsage(
input_tokens=3000,
output_tokens=100,
cache_read_tokens=5000,
cache_write_tokens=2000,
),
),
],
)
def test_normalize_usage_dialects(usage: dict, expected: NormalizedUsage) -> None:
"""Each known vendor dialect maps onto the same canonical shape."""
assert normalize_usage(usage) == expected
def test_normalize_usage_absent_usage() -> None:
"""Missing/invalid usage yields None so callers can bill at max cost."""
assert normalize_usage(None) is None
assert normalize_usage("not a dict") is None # type: ignore[arg-type]
def test_normalize_usage_never_negative() -> None:
"""Buggy upstreams reporting more cached than prompt tokens clamp to 0."""
result = normalize_usage(
{
"prompt_tokens": 100,
"completion_tokens": 50,
"prompt_cache_hit_tokens": 150,
}
)
assert result is not None
assert result.input_tokens == 0
assert result.cache_read_tokens == 150

View File

@@ -150,6 +150,7 @@ async def test_credit_balance() -> None:
mock_key.balance = 5000000
mock_key.hashed_key = "test_hash"
mock_session = AsyncMock()
mock_session.exec.return_value.rowcount = 1
# Mock session.refresh to update the balance (simulates DB reload)
async def mock_refresh(key: ApiKey) -> None:
@@ -206,9 +207,43 @@ async def test_credit_balance_rejects_zero_amount() -> None:
assert not mock_session.commit.called
@pytest.mark.asyncio
async def test_credit_balance_rejects_missing_key() -> None:
"""A top-up must fail if the key was pruned after redemption."""
token_data = {
"token": [{"mint": "http://mint:3338", "proofs": [{"amount": 1000}]}],
"unit": "sat",
}
token_json = json.dumps(token_data)
token_b64 = base64.urlsafe_b64encode(token_json.encode()).decode()
token_str = f"cashuA{token_b64}"
mock_key = Mock()
mock_key.balance = 0
mock_key.hashed_key = "test_hash"
mock_session = AsyncMock()
mock_session.exec.return_value.rowcount = 0
from routstr.core.settings import settings
with patch.object(settings, "cashu_mints", ["http://mint:3338"]):
with patch(
"routstr.wallet.recieve_token",
return_value=(1000, "sat", "http://mint:3338"),
):
with pytest.raises(ValueError, match="disappeared"):
await credit_balance(token_str, mock_key, mock_session)
# UPDATE matched nothing; committing would hide the failed credit.
assert mock_session.exec.called
assert not mock_session.commit.called
@pytest.mark.asyncio
async def test_swap_to_primary_mint_insufficient_for_fees() -> None:
"""Token amount is less than melt_quote.amount + melt_quote.fee_reserve."""
"""Token amount is less than melt_quote.amount + melt_quote.fee_reserve.
The quote mocks are static, so every retry observes the same shortfall —
the swap must still give up and raise."""
from routstr.wallet import swap_to_primary_mint
mock_token = Mock()
@@ -250,50 +285,6 @@ async def test_swap_to_primary_mint_insufficient_for_fees() -> None:
mock_token_wallet.melt.assert_not_called()
@pytest.mark.asyncio
async def test_swap_to_primary_mint_melt_error_wrapped() -> None:
"""Melt failure from cashu lib is wrapped as ValueError."""
from routstr.wallet import swap_to_primary_mint
mock_token = Mock()
mock_token.mint = "http://foreign:3338"
mock_token.unit = "sat"
mock_token.amount = 5000
mock_token.keysets = ["keyset1"]
mock_token.proofs = [{"amount": 5000}]
mock_token_wallet = Mock()
mock_token_wallet.load_mint = AsyncMock()
mock_token_wallet.load_proofs = AsyncMock()
mock_token_wallet.get_fees_for_proofs = Mock(return_value=0)
mock_primary_wallet = Mock()
mock_primary_wallet.load_mint = AsyncMock()
mock_primary_wallet.load_proofs = AsyncMock()
mock_mint_quote = Mock()
mock_mint_quote.quote = "mint_quote_456"
mock_mint_quote.request = "lnbc1..."
mock_primary_wallet.request_mint = AsyncMock(return_value=mock_mint_quote)
mock_melt_quote = Mock()
mock_melt_quote.quote = "melt_quote_456"
mock_melt_quote.amount = 4940
mock_melt_quote.fee_reserve = 50 # total 4990 < 5000, passes fee check
mock_token_wallet.melt_quote = AsyncMock(return_value=mock_melt_quote)
mock_token_wallet.melt = AsyncMock(
side_effect=Exception("Provided: 5000, needed: 5100 (Code: 11000)")
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
with pytest.raises(ValueError, match="Failed to melt token"):
await swap_to_primary_mint(mock_token, mock_token_wallet)
@pytest.mark.asyncio
async def test_recieve_token_untrusted_mint() -> None:
mock_wallet = Mock()
@@ -361,54 +352,80 @@ async def test_swap_to_primary_mint_already_on_primary() -> None:
mock_token_wallet.melt_quote.assert_not_called()
async def test_swap_to_primary_mint_success() -> None:
"""Test successful swap with dynamic fee calculation."""
from routstr.wallet import swap_to_primary_mint
# ---------------------------------------------------------------------------
# Swap fee estimation and reactive retry
#
# Spec: the estimation pass subtracts only observed fees (no safety buffer).
# swap_to_primary_mint then runs the mint-quote/melt-quote/melt cycle and, when
# the foreign mint demands more than estimated (at quote or at melt time),
# retries with the amount recomputed from the observed fee — at most 3 attempts.
# Melt failures unrelated to fees are not retried.
# ---------------------------------------------------------------------------
def _make_swap_mocks(
token_amount: int,
fee_reserves: list[int],
input_fees: int = 0,
mint_url: str = "http://foreign-mint:3338",
) -> tuple[Mock, Mock, Mock]:
"""Return (token, token_wallet, primary_wallet) mocks that act like a mint.
Mint quotes pass the requested amount through their ``request`` field and
melt quotes echo that amount back, so the mocks stay consistent for
whatever amounts the implementation requests. ``fee_reserves`` supplies the
fee_reserve of each successive melt quote (the first serves the estimation
pass); requesting more quotes than provided fails the test.
"""
mock_token = Mock()
mock_token.mint = "http://foreign:3338"
mock_token.mint = mint_url
mock_token.unit = "sat"
mock_token.amount = 1000
mock_token.amount = token_amount
mock_token.keysets = ["keyset1"]
mock_token.proofs = [{"amount": 1000}]
mock_token.proofs = [Mock(amount=token_amount)]
mock_token_wallet = Mock()
mock_token_wallet.load_mint = AsyncMock()
mock_token_wallet.load_proofs = AsyncMock()
mock_token_wallet.get_fees_for_proofs = Mock(return_value=0)
mock_token_wallet.get_fees_for_proofs = Mock(return_value=input_fees)
mock_primary_wallet = Mock()
mock_primary_wallet.load_mint = AsyncMock()
mock_primary_wallet.load_proofs = AsyncMock()
mock_primary_wallet.available_balance = Mock(amount=0)
mock_primary_wallet.mint = AsyncMock(return_value=Mock())
# Mocks for the estimation phase
# 1. request_mint(dummy_amount=1000) -> invoice_dummy
# 2. melt_quote(invoice_dummy) -> fee=10
fees = iter(fee_reserves)
# Mocks for the execution phase
# 3. request_mint(minted_amount=990) -> invoice_real
# 4. melt_quote(invoice_real) -> amount=990, fee=10
# 5. melt() -> success
# 6. mint() -> success
def _next_fee() -> int:
try:
return next(fees)
except StopIteration:
raise AssertionError(
"more melt quotes requested than fee_reserves provided"
) from None
mock_mint_quote_dummy = Mock(quote="dummy_quote", request="lnbc_dummy")
mock_mint_quote_real = Mock(quote="real_quote", request="lnbc_real")
# side_effect for request_mint to return dummy then real
mock_primary_wallet.request_mint = AsyncMock(
side_effect=[mock_mint_quote_dummy, mock_mint_quote_real]
side_effect=lambda amount: Mock(quote=f"mint_quote_{amount}", request=amount)
)
mock_melt_quote_dummy = Mock(amount=1000, fee_reserve=10)
mock_melt_quote_real = Mock(amount=990, fee_reserve=10)
# side_effect for melt_quote
mock_token_wallet.melt_quote = AsyncMock(
side_effect=[mock_melt_quote_dummy, mock_melt_quote_real]
side_effect=lambda invoice: Mock(
quote=f"melt_quote_{invoice}", amount=invoice, fee_reserve=_next_fee()
)
)
mock_token_wallet.melt = AsyncMock(return_value=Mock())
mock_token_wallet.melt = AsyncMock(return_value="melted_proofs")
mock_primary_wallet.mint = AsyncMock(return_value="minted_proofs")
return mock_token, mock_token_wallet, mock_primary_wallet
@pytest.mark.asyncio
async def test_swap_to_primary_mint_success() -> None:
"""No retry needed: real quote matches the estimate, full net amount minted."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[10, 10]
)
from routstr.core.settings import settings
@@ -419,17 +436,659 @@ async def test_swap_to_primary_mint_success() -> None:
mock_token, mock_token_wallet
)
assert amount == 990 # 1000 - 10
assert unit == "sat"
assert mint == "http://primary:3338"
assert amount == 990 # 1000 - fee_reserve(10), no buffer subtracted
assert unit == "sat"
assert mint == "http://primary:3338"
assert mock_primary_wallet.request_mint.call_count == 2
mock_primary_wallet.request_mint.assert_any_call(1000)
mock_primary_wallet.request_mint.assert_any_call(990)
assert mock_token_wallet.melt_quote.call_count == 2
assert mock_token_wallet.melt.call_count == 1
assert mock_primary_wallet.mint.called
# Verify call order/counts
assert mock_primary_wallet.request_mint.call_count == 2
# First call with full amount for estimation
mock_primary_wallet.request_mint.assert_any_call(1000)
# Second call with calculated amount
mock_primary_wallet.request_mint.assert_any_call(990)
assert mock_token_wallet.melt_quote.call_count == 2
assert mock_token_wallet.melt.called
assert mock_primary_wallet.mint.called
@pytest.mark.asyncio
@pytest.mark.parametrize("fee_reserve", [1, 10, 100])
async def test_calculate_swap_amount_subtracts_only_observed_fees(
fee_reserve: int,
) -> None:
"""Estimation: minted_amount = token - fee_reserve, with no safety buffer."""
from routstr.wallet import _calculate_swap_amount
_, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[fee_reserve]
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
result = await _calculate_swap_amount(
amount_msat=1_000_000,
token_unit="sat",
token_mint_url="http://foreign-mint:3338",
token_wallet=mock_token_wallet,
primary_wallet=mock_primary_wallet,
proofs=[],
)
assert result == 1000 - fee_reserve
@pytest.mark.asyncio
async def test_calculate_swap_amount_includes_input_fees() -> None:
"""Estimation subtracts NUT-02 input fees alongside the melt fee_reserve."""
from routstr.wallet import _calculate_swap_amount
_, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
500, fee_reserves=[10], input_fees=3
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
result = await _calculate_swap_amount(
amount_msat=500_000,
token_unit="sat",
token_mint_url="http://foreign-mint:3338",
token_wallet=mock_token_wallet,
primary_wallet=mock_primary_wallet,
proofs=[],
)
assert result == 487 # 500 - 10 - 3
@pytest.mark.asyncio
async def test_swap_retries_when_real_quote_exceeds_estimate() -> None:
"""The real melt quote demands a higher fee than the estimate (20 → 23).
Instead of failing, the swap recomputes the amount from the observed fee
and re-quotes: 1000 - 23 = 977, which fits (977 + 23 <= 1000)."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[20, 23, 23]
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
amount, unit, mint = await swap_to_primary_mint(
mock_token, mock_token_wallet
)
assert amount == 977
assert unit == "sat"
mock_primary_wallet.request_mint.assert_any_call(980)
mock_primary_wallet.request_mint.assert_any_call(977)
assert mock_token_wallet.melt_quote.call_count == 3 # estimation + 2 attempts
assert mock_token_wallet.melt.call_count == 1
@pytest.mark.asyncio
async def test_swap_retries_when_melt_demands_more_than_quoted() -> None:
"""The mint.cubabitcoin.org incident: every quote reports fee_reserve=1,
but the mint demands 2 sats at melt time ("Provided: 179, needed: 180").
The swap must retry with a smaller invoice (177) so the second melt fits,
instead of failing the topup."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
179, fee_reserves=[1, 1, 1], mint_url="http://mint.cubabitcoin.org"
)
mock_token_wallet.melt.side_effect = [
Exception(
"Mint Error: not enough inputs provided for melt. "
"Provided: 179, needed: 180 (Code: 11000)"
),
Mock(),
]
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
amount, unit, mint = await swap_to_primary_mint(
mock_token, mock_token_wallet
)
assert amount == 177 # 179 - 1 (estimate) - 1 (observed melt shortfall)
assert mock_token_wallet.melt.call_count == 2
mock_primary_wallet.request_mint.assert_any_call(178)
mock_primary_wallet.request_mint.assert_any_call(177)
@pytest.mark.asyncio
async def test_swap_retries_on_cdk_unbalanced_error() -> None:
"""cdk-based mints report insufficient melt inputs as the registered code
11005 (TransactionUnbalanced) with their own message wording — no
Provided/needed amounts to parse. The retry must classify it by code and
fall back to shrinking by 1."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
179, fee_reserves=[1, 1, 1]
)
mock_token_wallet.melt.side_effect = [
Exception("Mint Error: Transaction unbalanced: 179, 178, 2 (Code: 11005)"),
Mock(),
]
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
amount, unit, mint = await swap_to_primary_mint(
mock_token, mock_token_wallet
)
assert amount == 177
assert mock_token_wallet.melt.call_count == 2
@pytest.mark.asyncio
async def test_swap_quote_retries_exhausted() -> None:
"""A mint that escalates fee_reserve on every re-quote exhausts the retry
budget (3 attempts) and fails cleanly; melt is never executed."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[1, 10, 25, 50]
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
with pytest.raises(ValueError, match="insufficient to cover melt fees"):
await swap_to_primary_mint(mock_token, mock_token_wallet)
assert mock_token_wallet.melt_quote.call_count == 4 # estimation + 3 attempts
mock_token_wallet.melt.assert_not_called()
@pytest.mark.asyncio
async def test_swap_melt_retries_exhausted() -> None:
"""A mint that always demands more at melt time than it quoted exhausts
the retry budget; the last melt failure is wrapped as ValueError."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
5000, fee_reserves=[50, 50, 50, 50]
)
mock_token_wallet.melt = AsyncMock(
side_effect=Exception(
"Mint Error: not enough inputs provided for melt. "
"Provided: 5000, needed: 5200 (Code: 11000)"
)
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
with pytest.raises(ValueError, match="Failed to melt token"):
await swap_to_primary_mint(mock_token, mock_token_wallet)
assert mock_token_wallet.melt.call_count == 3
@pytest.mark.asyncio
@pytest.mark.parametrize(
"primary_unit,token_unit,amount_msat,fees,expected",
[
("sat", "sat", 179_000, 2, 177),
("msat", "sat", 179_000, 2, 177_000),
("sat", "msat", 179_000, 2_000, 177),
],
)
async def test_net_minted_amount_unit_conversions(
primary_unit: str, token_unit: str, amount_msat: int, fees: int, expected: int
) -> None:
"""Fee subtraction converts correctly between sat and msat on either side."""
from routstr.core.settings import settings
from routstr.wallet import _net_minted_amount
with patch.object(settings, "primary_mint_unit", primary_unit):
assert _net_minted_amount(amount_msat, token_unit, fees) == expected
@pytest.mark.parametrize(
"message,expected",
[
# nutshell: retryable with exact shortfall from the detail text
(
"Mint Error: not enough inputs provided for melt. "
"Provided: 179, needed: 182 (Code: 11000)",
3,
),
# verbatim production error from issue #468, including cashu-py's
# "could not pay invoice" wrapper around the mint detail
(
"could not pay invoice: Mint Error: not enough inputs provided "
"for melt. Provided: 179, needed: 180 (Code: 11000)",
1,
),
# cdk: registered TransactionUnbalanced code, no parsable amounts
("Mint Error: Transaction unbalanced: 179, 178, 2 (Code: 11005)", 1),
# nutshell wording without a code suffix
("not enough inputs provided for melt", 1),
# nonsensical amounts (needed <= provided) fall back to the minimal step
(
"Mint Error: not enough inputs provided for melt. "
"Provided: 180, needed: 179 (Code: 11000)",
1,
),
# a generic 11000 without the shortfall text is not a fee shortfall:
# 11000 is nutshell's catch-all TransactionError, so retrying (shrinking
# the invoice) would never help and only masks the real error
("Mint Error: Duplicate inputs provided. (Code: 11000)", None),
# spent proofs must never be retried: the funds are gone
("Mint Error: Token already spent. (Code: 11001)", None),
# Lightning failures must never be retried: a smaller invoice won't help
("Mint Error: Lightning payment failed. (Code: 20004)", None),
# unrecognizable errors (timeouts, bugs) must never be retried
("Connection timeout", None),
],
)
def test_melt_shortfall_classifier(message: str, expected: int | None) -> None:
"""Retry classification across mint implementations and failure classes."""
from routstr.wallet import _melt_insufficient_shortfall
assert _melt_insufficient_shortfall(Exception(message)) == expected
@pytest.mark.asyncio
async def test_calculate_swap_amount_same_mint_short_circuit() -> None:
"""When the token is already on the primary mint no fees apply and no
quotes are requested."""
from routstr.wallet import _calculate_swap_amount
_, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[]
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
result = await _calculate_swap_amount(
amount_msat=1_000_000,
token_unit="sat",
token_mint_url="http://primary:3338",
token_wallet=mock_token_wallet,
primary_wallet=mock_primary_wallet,
proofs=[],
)
assert result == 1000
mock_primary_wallet.request_mint.assert_not_called()
mock_token_wallet.melt_quote.assert_not_called()
@pytest.mark.asyncio
async def test_calculate_swap_amount_msat_primary_unit() -> None:
"""With an msat primary mint the dummy quote and result stay in msats."""
from routstr.wallet import _calculate_swap_amount
_, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
179, fee_reserves=[2]
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "msat"):
result = await _calculate_swap_amount(
amount_msat=179_000,
token_unit="sat",
token_mint_url="http://foreign-mint:3338",
token_wallet=mock_token_wallet,
primary_wallet=mock_primary_wallet,
proofs=[],
)
assert result == 177_000 # 179_000 msat - 2 sat fee
mock_primary_wallet.request_mint.assert_called_once_with(179_000)
@pytest.mark.asyncio
async def test_calculate_swap_amount_fees_exceed_token() -> None:
"""Fees larger than the token itself fail fast, before any melt."""
from routstr.wallet import _calculate_swap_amount
_, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
179, fee_reserves=[200]
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with pytest.raises(ValueError, match="exceed token amount"):
await _calculate_swap_amount(
amount_msat=179_000,
token_unit="sat",
token_mint_url="http://foreign-mint:3338",
token_wallet=mock_token_wallet,
primary_wallet=mock_primary_wallet,
proofs=[],
)
@pytest.mark.asyncio
async def test_calculate_swap_amount_wraps_estimation_failure() -> None:
"""Estimation infrastructure failures surface as a single clear ValueError."""
from routstr.wallet import _calculate_swap_amount
_, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
179, fee_reserves=[]
)
mock_primary_wallet.request_mint = AsyncMock(
side_effect=Exception("mint offline")
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with pytest.raises(ValueError, match="Failed to estimate fees"):
await _calculate_swap_amount(
amount_msat=179_000,
token_unit="sat",
token_mint_url="http://foreign-mint:3338",
token_wallet=mock_token_wallet,
primary_wallet=mock_primary_wallet,
proofs=[],
)
@pytest.mark.asyncio
async def test_swap_coerces_non_integer_amount() -> None:
"""Token amounts arriving as floats are coerced before any arithmetic."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[10, 10]
)
mock_token.amount = 1000.0
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
amount, unit, mint = await swap_to_primary_mint(
mock_token, mock_token_wallet
)
assert amount == 990
assert isinstance(amount, int)
@pytest.mark.asyncio
async def test_swap_rejects_unknown_unit() -> None:
"""Units other than sat/msat are rejected before any quote is requested."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[]
)
mock_token.unit = "usd"
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
with pytest.raises(ValueError, match="Invalid unit"):
await swap_to_primary_mint(mock_token, mock_token_wallet)
mock_primary_wallet.request_mint.assert_not_called()
@pytest.mark.asyncio
async def test_swap_msat_token_already_on_primary() -> None:
"""msat-denominated tokens on the primary mint short-circuit unchanged."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, _ = _make_swap_mocks(
179_000, fee_reserves=[], mint_url="http://primary:3338"
)
mock_token.unit = "msat"
mock_token_wallet.split = AsyncMock()
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_token_wallet):
amount, unit, mint = await swap_to_primary_mint(
mock_token, mock_token_wallet
)
assert (amount, unit, mint) == (179_000, "msat", "http://primary:3338")
# ---------------------------------------------------------------------------
# Mint-on-primary failure handling after a successful melt
#
# At this point the foreign proofs are already spent: failures here mean funds
# are in limbo, so errors must propagate (never be swallowed) and recovery must
# never credit proofs the wallet does not actually hold.
# ---------------------------------------------------------------------------
def _with_recovery_mocks(
mock_primary_wallet: Mock, mint_error: str, balances: list[int]
) -> None:
"""Make primary mint() fail and stage available_balance per load_proofs call."""
mock_primary_wallet.mint = AsyncMock(side_effect=Exception(mint_error))
mock_primary_wallet.keysets = ["keyset_primary"]
balance_iter = iter(balances)
def advance_balance(reload: bool = False) -> None:
mock_primary_wallet.available_balance = Mock(amount=next(balance_iter))
mock_primary_wallet.load_proofs = AsyncMock(side_effect=advance_balance)
mock_primary_wallet.restore_tokens_for_keyset = AsyncMock()
@pytest.mark.asyncio
async def test_swap_mint_failure_propagates_unwrapped() -> None:
"""A non-recoverable mint failure after melt propagates as-is (a 500, not a
client error): the melt already spent the foreign proofs."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[10, 10]
)
_with_recovery_mocks(
mock_primary_wallet, "Mint Error: Quote is expired (Code: 20007)", [0]
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
with pytest.raises(Exception, match="Quote is expired") as exc_info:
await swap_to_primary_mint(mock_token, mock_token_wallet)
assert type(exc_info.value) is Exception # original error, not wrapped
assert mock_token_wallet.melt.call_count == 1
mock_primary_wallet.restore_tokens_for_keyset.assert_not_called()
@pytest.mark.asyncio
async def test_swap_recovers_orphaned_proofs_on_outputs_already_signed() -> None:
"""11003 (outputs already signed): a recovery scan that restores the full
minted amount lets the swap complete normally."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[10, 10]
)
_with_recovery_mocks(
mock_primary_wallet,
"Mint Error: outputs already signed (Code: 11003)",
[0, 990], # pre-mint balance, post-recovery balance
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
amount, unit, mint = await swap_to_primary_mint(
mock_token, mock_token_wallet
)
assert amount == 990
mock_primary_wallet.restore_tokens_for_keyset.assert_awaited_once_with(
"keyset_primary", to=1, batch=25
)
@pytest.mark.asyncio
async def test_swap_recovery_shortfall_refuses_credit() -> None:
"""When the recovery scan restores less than the minted amount, the swap
must fail rather than credit proofs the wallet does not hold."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[10, 10]
)
_with_recovery_mocks(
mock_primary_wallet,
"Mint Error: outputs already signed (Code: 11003)",
[0, 100], # recovery restores only 100 of the expected 990
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
with pytest.raises(ValueError, match="Swap recovery failed"):
await swap_to_primary_mint(mock_token, mock_token_wallet)
@pytest.mark.asyncio
async def test_swap_recovery_failure_wrapped() -> None:
"""When the recovery scan itself fails, the error is wrapped and raised —
never swallowed."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[10, 10]
)
_with_recovery_mocks(
mock_primary_wallet,
"Mint Error: outputs already signed (Code: 11003)",
[0],
)
mock_primary_wallet.restore_tokens_for_keyset = AsyncMock(
side_effect=Exception("wallet db locked")
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
with pytest.raises(ValueError, match="recovery unsuccessful"):
await swap_to_primary_mint(mock_token, mock_token_wallet)
@pytest.mark.asyncio
async def test_recieve_token_rejects_multiple_keysets() -> None:
"""Multi-keyset tokens are rejected before touching any wallet."""
with patch("routstr.wallet.deserialize_token_from_string") as mock_deserialize:
mock_token = Mock()
mock_token.keysets = ["keyset1", "keyset2"]
mock_deserialize.return_value = mock_token
with pytest.raises(ValueError, match="Multiple keysets"):
await recieve_token("cashuAmultikeyset")
@pytest.mark.asyncio
async def test_credit_balance_msat_unit_not_converted() -> None:
"""msat-denominated redemptions are credited as-is, without a 1000x."""
mock_key = Mock()
mock_key.balance = 0
mock_key.hashed_key = "test_hash"
mock_session = AsyncMock()
from routstr.core.settings import settings
with patch.object(settings, "cashu_mints", ["http://mint:3338"]):
with patch(
"routstr.wallet.recieve_token",
return_value=(1_000_000, "msat", "http://mint:3338"),
):
amount = await credit_balance("cashuAtest", mock_key, mock_session)
assert amount == 1_000_000
assert mock_session.commit.called
@pytest.mark.asyncio
async def test_credit_balance_survives_audit_store_failure() -> None:
"""A failure writing the CashuTransaction history record must not undo the
already-committed balance credit. (The silent swallow is a known
audit-trail gap slated for its own fix — this test pins the financial
invariant that the user keeps their credit, not the swallow itself.)"""
mock_key = Mock()
mock_key.balance = 0
mock_key.hashed_key = "test_hash"
mock_session = AsyncMock()
from routstr.core.settings import settings
with patch.object(settings, "cashu_mints", ["http://mint:3338"]):
with patch(
"routstr.wallet.recieve_token",
return_value=(1000, "sat", "http://mint:3338"),
):
with patch(
"routstr.wallet.store_cashu_transaction",
side_effect=Exception("history table locked"),
):
amount = await credit_balance("cashuAtest", mock_key, mock_session)
assert amount == 1_000_000
assert mock_session.commit.called
@pytest.mark.asyncio
async def test_swap_does_not_retry_on_payment_failure() -> None:
"""Melt failures unrelated to fees (e.g. routing failure) are not retried:
a smaller invoice would not help, and the error must surface immediately."""
from routstr.wallet import swap_to_primary_mint
mock_token, mock_token_wallet, mock_primary_wallet = _make_swap_mocks(
1000, fee_reserves=[10, 10]
)
mock_token_wallet.melt = AsyncMock(
side_effect=Exception("Mint Error: Lightning payment failed. (Code: 20004)")
)
from routstr.core.settings import settings
with patch.object(settings, "primary_mint", "http://primary:3338"):
with patch.object(settings, "primary_mint_unit", "sat"):
with patch("routstr.wallet.get_wallet", return_value=mock_primary_wallet):
with pytest.raises(ValueError, match="Failed to melt token"):
await swap_to_primary_mint(mock_token, mock_token_wallet)
assert mock_token_wallet.melt.call_count == 1
assert mock_primary_wallet.request_mint.call_count == 2

View File

@@ -1,36 +1,44 @@
This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
# Routstr node admin UI
## Getting Started
A [Next.js](https://nextjs.org) app (App Router, **static export**) that provides the
admin dashboard for a `routstr-core` node: login, settings, providers, balances,
transactions, usage, and logs.
First, run the development server:
There is no separate web server in production. `next build` produces a fully static
export (`next.config.ts` sets `output: 'export'`), and the FastAPI backend serves it
directly from `../ui_out/` (see `routstr/core/main.py`). So the UI and the API are
served from the **same origin** in production.
```bash
npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev
```
## Developing the UI (hot reload)
Open [http://localhost:3000](http://localhost:3000) with your browser to see the result.
The everyday loop runs two processes side by side — you do **not** rebuild the static
export while developing:
You can start editing the page by modifying `app/page.tsx`. The page auto-updates as you edit the file.
1. Start the backend on `:8000` — from the repo root: `make docker-up` (or
`uvicorn routstr.core.main:app --reload`).
2. Start the Next.js dev server on `:3000` — from the repo root: `make ui-dev`
(or `cd ui && pnpm dev`). Edits hot-reload instantly.
This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
Open http://localhost:3000. With no `NEXT_PUBLIC_API_URL` set, the UI falls back to
`http://127.0.0.1:8000` in development (see `lib/api/services/configuration.ts`), so it
talks to the local backend out of the box.
## Learn More
Because dev is cross-origin (`:3000``:8000`), it relies on the backend's CORS
allowing the UI origin. The default `cors_origins` is `["*"]`; if you tighten CORS,
keep `http://localhost:3000` allowed for development.
To learn more about Next.js, take a look at the following resources:
## Building the integrated/static UI (what production serves)
- [Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.
- [Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.
To produce the bundle that FastAPI serves from `../ui_out/`:
You can check out [the Next.js GitHub repository](https://github.com/vercel/next.js) - your feedback and contributions are welcome!
- `make ui-build` — builds with local Node/pnpm (`scripts/build-ui.sh`), then moves
`ui/out/*` to `../ui_out/`.
- `make ui-build-docker` — same, but inside Docker (no local Node needed).
## Deploy on Vercel
`NEXT_PUBLIC_*` variables are read from the repo-root `.env` at build time and baked in.
For a same-origin deployment leave `NEXT_PUBLIC_API_URL` empty (relative paths); the UI
uses `window.location.origin` at runtime. After building, start the backend and open
http://localhost:8000 — the dashboard is served at `/` and `/admin`.
The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.
Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
If `../ui_out/` does not exist, the backend logs a warning at startup and serves the API
only (hitting a UI route returns a small JSON fallback instead of the dashboard).

View File

@@ -297,16 +297,13 @@ export default function ProvidersPage() {
};
const toggleProviderExpansion = (providerId: number) => {
const newExpanded = new Set(expandedProviders);
if (newExpanded.has(providerId)) {
newExpanded.delete(providerId);
} else {
newExpanded.add(providerId);
}
setExpandedProviders(newExpanded);
if (!newExpanded.has(providerId)) {
if (expandedProviders.has(providerId)) {
setExpandedProviders(new Set());
setViewingModels(null);
} else {
// Accordion: only one provider open at a time so switching to another
// provider's models auto-collapses the previously expanded one.
setExpandedProviders(new Set([providerId]));
setViewingModels(providerId);
}
};

View File

@@ -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'

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

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