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https://github.com/Routstr/routstr-core.git
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4
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
|
|
00b813f6a8 | ||
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|
164ed775c8 | ||
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0d1cb66855 | ||
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|
59773e972b |
@@ -78,9 +78,15 @@ Which mints to accept payments from:
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||||
|
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Automatic profit withdrawal:
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||||
|
||||
| Setting | Description |
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||||
| --------------------- | ------------------------------- |
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||||
| **Lightning Address** | Your LN address for withdrawals |
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||||
| Setting | Description | Default |
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||||
| ------------------------------------ | ---------------------------------------------------------------------------------------------------------- | ------- |
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| **Lightning Address** | Your LN address for withdrawals | — |
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| **Minimum Payout (sat)** | Min available balance (in sats) before profit is paid out. Applies to both `sat` and `msat` mints (auto-converted). | `210` |
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| **Payout Interval (seconds)** | How often the payout loop wakes up and checks balances | `900` |
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All payout amounts must be positive. Set the minimums above your wallet's
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minimum-invoice constraint (typically 1 sat) and high enough to amortise
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routing fees.
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### Security
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@@ -126,6 +132,8 @@ Use environment variables for:
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| `ENABLE_ANALYTICS_SHARING` | Enable usage analytics sharing to Nostr | `true` |
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||||
| `CASHU_MINTS` | Comma-separated mint URLs | `https://mint.minibits.cash/Bitcoin` |
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| `RECEIVE_LN_ADDRESS` | Lightning address for withdrawals | — |
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| `MIN_PAYOUT_SAT` | Min payout balance in sats (applies to all mints) | `210` |
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| `PAYOUT_INTERVAL_SECONDS` | Payout loop interval (seconds) | `900` |
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||||
| `TOR_PROXY_URL` | SOCKS5 proxy for Tor | `socks5://127.0.0.1:9050` |
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| `CORS_ORIGINS` | Allowed CORS origins | `*` |
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| `RELAYS` | Nostr relays (comma-separated) | (default set) |
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||||
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@@ -6,6 +6,7 @@ from pathlib import Path
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||||
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from fastapi import APIRouter, Depends, HTTPException, Query, Request
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from pydantic import BaseModel, RootModel
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from pydantic.v1 import ValidationError as PydanticValidationError
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||||
from sqlmodel import select
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||||
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from ..payment.models import _row_to_model, list_models
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||||
@@ -160,8 +161,13 @@ async def update_settings(request: Request, update: SettingsUpdate) -> dict:
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if field in settings_data:
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del settings_data[field]
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async with create_session() as session:
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new_settings = await SettingsService.update(settings_data, session)
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try:
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async with create_session() as session:
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new_settings = await SettingsService.update(settings_data, session)
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except PydanticValidationError as e:
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# Surface validation issues (e.g. non-positive payout amounts)
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# as a clean 400 instead of a 500.
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raise HTTPException(status_code=400, detail=e.errors()) from e
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data = new_settings.dict()
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if "upstream_api_key" in data:
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data["upstream_api_key"] = "[REDACTED]" if data["upstream_api_key"] else ""
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@@ -41,6 +41,15 @@ class Settings(BaseSettings):
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primary_mint: str = Field(default="", env="PRIMARY_MINT_URL")
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primary_mint_unit: str = Field(default="sat", env="PRIMARY_MINT_UNIT")
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# Lightning payout configuration
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# Minimum available balance (in satoshis) before profit is paid out over
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# Lightning
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min_payout_sat: int = Field(default=210, gt=0, env="MIN_PAYOUT_SAT")
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# Interval (seconds) between periodic payout attempts. Must be positive.
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payout_interval_seconds: int = Field(
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default=900, gt=0, env="PAYOUT_INTERVAL_SECONDS"
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)
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# Pricing
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# Default behavior: derive pricing from MODELS
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# If fixed_pricing is True -> use fixed_cost_per_request and ignore tokens
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@@ -42,6 +42,7 @@ from ..payment.models import (
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from ..payment.price import sats_usd_price
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from ..wallet import recieve_token, send_token
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from . import messages_dispatch
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from .count_tokens import count_tokens_locally
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from .litellm_routing import detect_litellm_prefix
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logger = get_logger(__name__)
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@@ -2159,6 +2160,12 @@ class BaseUpstreamProvider:
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"""
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path = self.normalize_request_path(path, model_obj)
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|
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if (
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path.endswith("messages/count_tokens")
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and not self.supports_anthropic_messages
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||||
):
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return count_tokens_locally(request_body, model_obj)
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||||
if (
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path.endswith("messages")
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and not path.endswith("count_tokens")
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@@ -3357,6 +3364,12 @@ class BaseUpstreamProvider:
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request_body = await request.body()
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if (
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path.endswith("messages/count_tokens")
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||||
and not self.supports_anthropic_messages
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||||
):
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return count_tokens_locally(request_body, model_obj)
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||||
if (
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path.endswith("messages")
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and not path.endswith("count_tokens")
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@@ -0,0 +1,108 @@
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"""Local handling of Anthropic ``/v1/messages/count_tokens`` for upstreams
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that do not natively expose the endpoint.
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Most non-Anthropic upstreams (OpenAI-compat, Gemini OpenAI-compat,
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OpenRouter chat-completions, generic providers) return 400/404 when asked
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||||
to ``POST /messages/count_tokens``. Claude Code and other Anthropic SDK
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clients call this endpoint before each turn to size context windows and
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trigger compaction, so a failure breaks the whole chat.
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We answer locally. ``litellm.token_counter`` understands the Anthropic
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||||
message shape and the per-model tokenizers, so we prefer it. If it raises
|
||||
(unknown model, encoding lookup failure, ...), we fall back to the
|
||||
project's own ``estimate_tokens`` heuristic, which is always defined and
|
||||
never raises.
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||||
"""
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from __future__ import annotations
|
||||
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import json
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from typing import Any
|
||||
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import litellm
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from fastapi.responses import Response
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||||
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from ..core import get_logger
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from ..payment.helpers import estimate_tokens
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from ..payment.models import Model
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logger = get_logger(__name__)
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|
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def _parse_request_body(request_body: bytes | None) -> dict[str, Any]:
|
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if not request_body:
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return {}
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try:
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parsed = json.loads(request_body)
|
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except (ValueError, TypeError):
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return {}
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return parsed if isinstance(parsed, dict) else {}
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||||
|
||||
|
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def _count_with_litellm(model: str, body: dict[str, Any]) -> int:
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messages = body.get("messages")
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if not isinstance(messages, list):
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messages = []
|
||||
|
||||
system = body.get("system")
|
||||
if isinstance(system, str) and system:
|
||||
messages = [{"role": "system", "content": system}, *messages]
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||||
elif isinstance(system, list):
|
||||
text = "".join(
|
||||
block.get("text", "")
|
||||
for block in system
|
||||
if isinstance(block, dict) and block.get("type") == "text"
|
||||
)
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||||
if text:
|
||||
messages = [{"role": "system", "content": text}, *messages]
|
||||
|
||||
tools = body.get("tools") if isinstance(body.get("tools"), list) else None
|
||||
|
||||
return int(
|
||||
litellm.token_counter(
|
||||
model=model,
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||||
messages=messages,
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||||
tools=tools,
|
||||
)
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||||
)
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||||
|
||||
|
||||
def count_tokens_locally(
|
||||
request_body: bytes | None,
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||||
model_obj: Model | None,
|
||||
) -> Response:
|
||||
"""Return an Anthropic-compatible count_tokens response without
|
||||
touching the upstream. Always returns 200; never raises."""
|
||||
body = _parse_request_body(request_body)
|
||||
|
||||
model_name = ""
|
||||
if model_obj is not None:
|
||||
model_name = model_obj.forwarded_model_id or model_obj.id or ""
|
||||
if not model_name:
|
||||
body_model = body.get("model")
|
||||
if isinstance(body_model, str):
|
||||
model_name = body_model
|
||||
|
||||
input_tokens: int
|
||||
try:
|
||||
input_tokens = _count_with_litellm(model_name, body)
|
||||
except Exception as exc:
|
||||
messages = body.get("messages")
|
||||
fallback_messages = messages if isinstance(messages, list) else []
|
||||
input_tokens = estimate_tokens(fallback_messages)
|
||||
logger.debug(
|
||||
"litellm token_counter failed; using local estimator",
|
||||
extra={
|
||||
"model": model_name,
|
||||
"error": str(exc),
|
||||
"error_type": type(exc).__name__,
|
||||
"estimated_tokens": input_tokens,
|
||||
},
|
||||
)
|
||||
|
||||
payload = {"input_tokens": max(0, int(input_tokens))}
|
||||
return Response(
|
||||
content=json.dumps(payload).encode(),
|
||||
status_code=200,
|
||||
media_type="application/json",
|
||||
)
|
||||
+10
-5
@@ -502,11 +502,11 @@ async def fetch_all_balances(
|
||||
|
||||
|
||||
async def periodic_payout() -> None:
|
||||
if not settings.receive_ln_address:
|
||||
logger.warning("RECEIVE_LN_ADDRESS is not set, periodic payout disabled")
|
||||
return
|
||||
while True:
|
||||
await asyncio.sleep(60 * 15)
|
||||
await asyncio.sleep(settings.payout_interval_seconds)
|
||||
print(settings.payout_interval_seconds)
|
||||
if not settings.receive_ln_address:
|
||||
continue
|
||||
try:
|
||||
async with db.create_session() as session:
|
||||
for mint_url in settings.cashu_mints:
|
||||
@@ -524,7 +524,12 @@ async def periodic_payout() -> None:
|
||||
user_balance = user_balance // 1000
|
||||
proofs_balance = sum(proof.amount for proof in proofs)
|
||||
available_balance = proofs_balance - user_balance
|
||||
min_amount = 210 if unit == "sat" else 210000
|
||||
# Threshold is configured in sats; convert for msat wallets.
|
||||
min_amount = (
|
||||
settings.min_payout_sat
|
||||
if unit == "sat"
|
||||
else settings.min_payout_sat * 1000
|
||||
)
|
||||
if available_balance > min_amount:
|
||||
amount_received = await raw_send_to_lnurl(
|
||||
wallet,
|
||||
|
||||
@@ -0,0 +1,177 @@
|
||||
"""Unit tests for the local count_tokens shim.
|
||||
|
||||
The shim runs whenever an upstream that does not support Anthropic's
|
||||
``/v1/messages`` endpoint is asked for a token count. It must always
|
||||
return a 200 JSON ``{"input_tokens": N}`` response and must never raise.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from typing import Any
|
||||
from unittest.mock import patch
|
||||
|
||||
from routstr.payment.models import Architecture, Model, Pricing
|
||||
from routstr.upstream import count_tokens as count_tokens_module
|
||||
from routstr.upstream.count_tokens import count_tokens_locally
|
||||
|
||||
|
||||
def _make_model(model_id: str = "anthropic/claude-3-5-sonnet") -> Model:
|
||||
pricing = Pricing(prompt=0.000003, completion=0.000015)
|
||||
architecture = Architecture(
|
||||
modality="text",
|
||||
input_modalities=["text"],
|
||||
output_modalities=["text"],
|
||||
tokenizer="cl100k_base",
|
||||
instruct_type=None,
|
||||
)
|
||||
return Model(
|
||||
id=model_id,
|
||||
name=model_id,
|
||||
created=0,
|
||||
description="",
|
||||
context_length=200_000,
|
||||
architecture=architecture,
|
||||
pricing=pricing,
|
||||
)
|
||||
|
||||
|
||||
def _body(payload: dict[str, Any]) -> bytes:
|
||||
return json.dumps(payload).encode()
|
||||
|
||||
|
||||
def _read_payload(response: Any) -> dict[str, Any]:
|
||||
body = response.body if isinstance(response.body, bytes) else bytes(response.body)
|
||||
return json.loads(body.decode())
|
||||
|
||||
|
||||
def test_returns_input_tokens_for_simple_messages() -> None:
|
||||
model = _make_model()
|
||||
request_body = _body(
|
||||
{
|
||||
"model": model.id,
|
||||
"messages": [{"role": "user", "content": "hello world"}],
|
||||
}
|
||||
)
|
||||
|
||||
response = count_tokens_locally(request_body, model)
|
||||
|
||||
assert response.status_code == 200
|
||||
assert response.media_type == "application/json"
|
||||
payload = _read_payload(response)
|
||||
assert "input_tokens" in payload
|
||||
assert isinstance(payload["input_tokens"], int)
|
||||
assert payload["input_tokens"] >= 0
|
||||
|
||||
|
||||
def test_falls_back_to_estimator_when_litellm_raises() -> None:
|
||||
model = _make_model()
|
||||
request_body = _body(
|
||||
{
|
||||
"model": model.id,
|
||||
"messages": [{"role": "user", "content": "this is a longer message"}],
|
||||
}
|
||||
)
|
||||
|
||||
with patch.object(
|
||||
count_tokens_module,
|
||||
"_count_with_litellm",
|
||||
side_effect=RuntimeError("boom"),
|
||||
):
|
||||
response = count_tokens_locally(request_body, model)
|
||||
|
||||
assert response.status_code == 200
|
||||
payload = _read_payload(response)
|
||||
assert payload["input_tokens"] >= 1
|
||||
|
||||
|
||||
def test_handles_missing_model_object() -> None:
|
||||
request_body = _body(
|
||||
{
|
||||
"model": "anthropic/claude-3-5-sonnet",
|
||||
"messages": [{"role": "user", "content": "hi"}],
|
||||
}
|
||||
)
|
||||
|
||||
response = count_tokens_locally(request_body, None)
|
||||
|
||||
assert response.status_code == 200
|
||||
payload = _read_payload(response)
|
||||
assert payload["input_tokens"] >= 0
|
||||
|
||||
|
||||
def test_handles_empty_request_body() -> None:
|
||||
response = count_tokens_locally(b"", _make_model())
|
||||
|
||||
assert response.status_code == 200
|
||||
payload = _read_payload(response)
|
||||
assert payload["input_tokens"] >= 0
|
||||
|
||||
|
||||
def test_handles_malformed_json() -> None:
|
||||
response = count_tokens_locally(b"not-json", _make_model())
|
||||
|
||||
assert response.status_code == 200
|
||||
payload = _read_payload(response)
|
||||
assert payload["input_tokens"] >= 0
|
||||
|
||||
|
||||
def test_includes_system_prompt_in_count() -> None:
|
||||
model = _make_model()
|
||||
short = _body(
|
||||
{
|
||||
"model": model.id,
|
||||
"messages": [{"role": "user", "content": "hi"}],
|
||||
}
|
||||
)
|
||||
with_system = _body(
|
||||
{
|
||||
"model": model.id,
|
||||
"system": "You are a helpful assistant with a long preamble " * 10,
|
||||
"messages": [{"role": "user", "content": "hi"}],
|
||||
}
|
||||
)
|
||||
|
||||
short_count = _read_payload(count_tokens_locally(short, model))["input_tokens"]
|
||||
long_count = _read_payload(count_tokens_locally(with_system, model))["input_tokens"]
|
||||
|
||||
assert long_count > short_count
|
||||
|
||||
|
||||
def test_supports_anthropic_system_block_list() -> None:
|
||||
model = _make_model()
|
||||
request_body = _body(
|
||||
{
|
||||
"model": model.id,
|
||||
"system": [{"type": "text", "text": "be terse" * 50}],
|
||||
"messages": [{"role": "user", "content": "ok"}],
|
||||
}
|
||||
)
|
||||
|
||||
response = count_tokens_locally(request_body, model)
|
||||
|
||||
payload = _read_payload(response)
|
||||
assert payload["input_tokens"] > 0
|
||||
|
||||
|
||||
def test_uses_forwarded_model_id_when_present() -> None:
|
||||
model = _make_model("anthropic/claude-3-5-sonnet")
|
||||
model.forwarded_model_id = "claude-3-5-sonnet-20241022"
|
||||
request_body = _body(
|
||||
{
|
||||
"model": "ignored",
|
||||
"messages": [{"role": "user", "content": "hi"}],
|
||||
}
|
||||
)
|
||||
|
||||
captured: dict[str, Any] = {}
|
||||
|
||||
def _capture(model_name: str, body: dict[str, Any]) -> int:
|
||||
captured["model"] = model_name
|
||||
return 7
|
||||
|
||||
with patch.object(count_tokens_module, "_count_with_litellm", side_effect=_capture):
|
||||
response = count_tokens_locally(request_body, model)
|
||||
|
||||
assert captured["model"] == "claude-3-5-sonnet-20241022"
|
||||
assert _read_payload(response)["input_tokens"] == 7
|
||||
@@ -908,7 +908,7 @@ async def test_forward_request_skips_litellm_when_provider_supports_messages() -
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_forward_request_skips_litellm_for_count_tokens() -> None:
|
||||
async def test_forward_request_handles_count_tokens_locally() -> None:
|
||||
provider = _make_provider()
|
||||
key = _make_key()
|
||||
model = _make_model()
|
||||
@@ -923,19 +923,25 @@ async def test_forward_request_skips_litellm_for_count_tokens() -> None:
|
||||
with patch.object(
|
||||
provider,
|
||||
"prepare_request_body",
|
||||
side_effect=RuntimeError("stop here"),
|
||||
side_effect=AssertionError("upstream should not be called"),
|
||||
):
|
||||
with pytest.raises(RuntimeError, match="stop here"):
|
||||
await provider.forward_request(
|
||||
request=request,
|
||||
path="messages/count_tokens",
|
||||
headers={},
|
||||
request_body=_anthropic_request_body(),
|
||||
key=key,
|
||||
max_cost_for_model=10_000,
|
||||
session=session,
|
||||
model_obj=model,
|
||||
)
|
||||
response = await provider.forward_request(
|
||||
request=request,
|
||||
path="messages/count_tokens",
|
||||
headers={},
|
||||
request_body=_anthropic_request_body(),
|
||||
key=key,
|
||||
max_cost_for_model=10_000,
|
||||
session=session,
|
||||
model_obj=model,
|
||||
)
|
||||
|
||||
assert response.status_code == 200
|
||||
body = response.body if isinstance(response.body, bytes) else bytes(response.body)
|
||||
payload = json.loads(body.decode())
|
||||
assert "input_tokens" in payload
|
||||
assert isinstance(payload["input_tokens"], int)
|
||||
assert payload["input_tokens"] >= 0
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -1010,7 +1016,7 @@ async def test_forward_x_cashu_request_skips_litellm_when_native_messages() -> N
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_forward_x_cashu_request_skips_litellm_for_count_tokens() -> None:
|
||||
async def test_forward_x_cashu_request_handles_count_tokens_locally() -> None:
|
||||
provider = _make_provider()
|
||||
model = _make_model()
|
||||
request = _make_request()
|
||||
@@ -1024,18 +1030,24 @@ async def test_forward_x_cashu_request_skips_litellm_for_count_tokens() -> None:
|
||||
with patch.object(
|
||||
provider,
|
||||
"prepare_request_body",
|
||||
side_effect=RuntimeError("stop here"),
|
||||
side_effect=AssertionError("upstream should not be called"),
|
||||
):
|
||||
with pytest.raises(RuntimeError, match="stop here"):
|
||||
await provider.forward_x_cashu_request(
|
||||
request=request,
|
||||
path="v1/messages/count_tokens",
|
||||
headers={},
|
||||
amount=5_000,
|
||||
unit="sat",
|
||||
max_cost_for_model=10_000,
|
||||
model_obj=model,
|
||||
)
|
||||
response = await provider.forward_x_cashu_request(
|
||||
request=request,
|
||||
path="v1/messages/count_tokens",
|
||||
headers={},
|
||||
amount=5_000,
|
||||
unit="sat",
|
||||
max_cost_for_model=10_000,
|
||||
model_obj=model,
|
||||
mint="https://mint",
|
||||
payment_token_hash="h",
|
||||
)
|
||||
|
||||
assert response.status_code == 200
|
||||
body = response.body if isinstance(response.body, bytes) else bytes(response.body)
|
||||
payload = json.loads(body.decode())
|
||||
assert "input_tokens" in payload
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
@@ -1,11 +1,12 @@
|
||||
import os
|
||||
|
||||
import pytest
|
||||
from pydantic.v1 import ValidationError
|
||||
from sqlalchemy.ext.asyncio import create_async_engine
|
||||
from sqlmodel import text
|
||||
from sqlmodel.ext.asyncio.session import AsyncSession
|
||||
|
||||
from routstr.core.settings import SettingsService
|
||||
from routstr.core.settings import Settings, SettingsService
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@@ -46,6 +47,54 @@ async def test_settings_db_precedence_over_env() -> None:
|
||||
assert again.enable_analytics_sharing is False
|
||||
|
||||
|
||||
def test_payout_settings_have_sensible_defaults() -> None:
|
||||
s = Settings()
|
||||
assert s.min_payout_sat == 210
|
||||
assert s.payout_interval_seconds == 900
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"field,bad_value",
|
||||
[
|
||||
("min_payout_sat", 0),
|
||||
("min_payout_sat", -1),
|
||||
("payout_interval_seconds", 0),
|
||||
("payout_interval_seconds", -10),
|
||||
],
|
||||
)
|
||||
def test_payout_settings_reject_invalid_values(field: str, bad_value: int) -> None:
|
||||
kwargs: dict[str, object] = {field: bad_value}
|
||||
with pytest.raises(ValidationError):
|
||||
Settings(**kwargs) # type: ignore[arg-type]
|
||||
|
||||
|
||||
def test_payout_settings_accept_custom_positive_values() -> None:
|
||||
s = Settings(min_payout_sat=500, payout_interval_seconds=60)
|
||||
assert s.min_payout_sat == 500
|
||||
assert s.payout_interval_seconds == 60
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_payout_settings_persist_via_settings_service() -> None:
|
||||
engine = create_async_engine("sqlite+aiosqlite:///:memory:")
|
||||
async with AsyncSession(engine, expire_on_commit=False) as session:
|
||||
await SettingsService.initialize(session)
|
||||
updated = await SettingsService.update(
|
||||
{"min_payout_sat": 1000, "payout_interval_seconds": 300}, session
|
||||
)
|
||||
assert updated.min_payout_sat == 1000
|
||||
assert updated.payout_interval_seconds == 300
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_payout_settings_update_rejects_invalid() -> None:
|
||||
engine = create_async_engine("sqlite+aiosqlite:///:memory:")
|
||||
async with AsyncSession(engine, expire_on_commit=False) as session:
|
||||
await SettingsService.initialize(session)
|
||||
with pytest.raises(ValidationError):
|
||||
await SettingsService.update({"min_payout_sat": 0}, session)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_settings_initialize_discards_unknown_keys() -> None:
|
||||
engine = create_async_engine("sqlite+aiosqlite:///:memory:")
|
||||
|
||||
@@ -32,9 +32,18 @@ interface SettingsData {
|
||||
onion_url?: string;
|
||||
cashu_mints?: string[];
|
||||
relays?: string[];
|
||||
receive_ln_address?: string;
|
||||
min_payout_sat?: number;
|
||||
payout_interval_seconds?: number;
|
||||
[key: string]: unknown;
|
||||
}
|
||||
|
||||
const PAYOUT_KEYS = [
|
||||
'receive_ln_address',
|
||||
'min_payout_sat',
|
||||
'payout_interval_seconds',
|
||||
] as const;
|
||||
|
||||
const HANDLED_KEYS = [
|
||||
'name',
|
||||
'description',
|
||||
@@ -48,6 +57,7 @@ const HANDLED_KEYS = [
|
||||
'admin_password',
|
||||
'id',
|
||||
'updated_at',
|
||||
...PAYOUT_KEYS,
|
||||
];
|
||||
|
||||
const IGNORED_KEYS = [
|
||||
@@ -369,6 +379,7 @@ export function AdminSettings() {
|
||||
const cashuMintsChanged = hasFieldChanged('cashu_mints');
|
||||
const relaysChanged = hasFieldChanged('relays');
|
||||
const analyticsSharingChanged = hasFieldChanged('enable_analytics_sharing');
|
||||
const payoutChanged = PAYOUT_KEYS.some(hasFieldChanged);
|
||||
const advancedKeys = Object.keys(settings).filter(
|
||||
(key) => !HANDLED_KEYS.includes(key) && !IGNORED_KEYS.includes(key)
|
||||
);
|
||||
@@ -401,8 +412,44 @@ export function AdminSettings() {
|
||||
setNewRelay('');
|
||||
};
|
||||
const resetAnalyticsSharing = () => resetFields(['enable_analytics_sharing']);
|
||||
const resetPayout = () => resetFields([...PAYOUT_KEYS]);
|
||||
const resetAdvanced = () => resetFields(advancedKeys);
|
||||
|
||||
const payoutFields: ReadonlyArray<{
|
||||
key: (typeof PAYOUT_KEYS)[number];
|
||||
label: string;
|
||||
placeholder: string;
|
||||
type: 'text' | 'number';
|
||||
helpText: string;
|
||||
min?: number;
|
||||
}> = [
|
||||
{
|
||||
key: 'receive_ln_address',
|
||||
label: 'Lightning Receive Address',
|
||||
placeholder: 'you@walletofsatoshi.com or LNURL',
|
||||
type: 'text',
|
||||
helpText:
|
||||
'Lightning address (or LNURL) profits are paid out to. Leave empty to disable periodic payouts.',
|
||||
},
|
||||
{
|
||||
key: 'min_payout_sat',
|
||||
label: 'Minimum Payout (sat)',
|
||||
placeholder: '210',
|
||||
type: 'number',
|
||||
min: 1,
|
||||
helpText:
|
||||
'Wallet payouts only fire when at least this many satoshis are available. Must be > 0.',
|
||||
},
|
||||
{
|
||||
key: 'payout_interval_seconds',
|
||||
label: 'Payout Interval (seconds)',
|
||||
placeholder: '900',
|
||||
type: 'number',
|
||||
min: 1,
|
||||
helpText: 'How often the payout loop wakes up to check balances.',
|
||||
},
|
||||
];
|
||||
|
||||
if (loading) {
|
||||
return (
|
||||
<div className='space-y-4'>
|
||||
@@ -620,6 +667,89 @@ export function AdminSettings() {
|
||||
) : null}
|
||||
</Card>
|
||||
|
||||
{/* Lightning Payout Settings */}
|
||||
<Card>
|
||||
<CardHeader>
|
||||
<CardTitle>Lightning Payout Settings</CardTitle>
|
||||
<CardDescription>
|
||||
Tune how node profit is paid out over Lightning. Amounts must be
|
||||
positive and above your wallet's minimum-invoice constraints.
|
||||
</CardDescription>
|
||||
</CardHeader>
|
||||
<CardContent className='space-y-4'>
|
||||
{payoutFields.map((field) => {
|
||||
const value = settings[field.key];
|
||||
if (field.type === 'number') {
|
||||
return (
|
||||
<div key={field.key} className='space-y-2'>
|
||||
<Label htmlFor={field.key}>{field.label}</Label>
|
||||
<Input
|
||||
id={field.key}
|
||||
type='number'
|
||||
min={field.min}
|
||||
value={
|
||||
typeof value === 'number'
|
||||
? value
|
||||
: value === undefined || value === null
|
||||
? ''
|
||||
: Number(value)
|
||||
}
|
||||
placeholder={field.placeholder}
|
||||
onChange={(e) => {
|
||||
const raw = e.target.value;
|
||||
if (raw === '') {
|
||||
handleInputChange(field.key, undefined);
|
||||
} else {
|
||||
const parsed = Number(raw);
|
||||
handleInputChange(
|
||||
field.key,
|
||||
Number.isFinite(parsed) ? parsed : undefined
|
||||
);
|
||||
}
|
||||
}}
|
||||
/>
|
||||
<p className='text-muted-foreground text-xs'>
|
||||
{field.helpText}
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
}
|
||||
return (
|
||||
<div key={field.key} className='space-y-2'>
|
||||
<Label htmlFor={field.key}>{field.label}</Label>
|
||||
<Input
|
||||
id={field.key}
|
||||
value={(value as string) || ''}
|
||||
placeholder={field.placeholder}
|
||||
onChange={(e) =>
|
||||
handleInputChange(field.key, e.target.value)
|
||||
}
|
||||
/>
|
||||
<p className='text-muted-foreground text-xs'>
|
||||
{field.helpText}
|
||||
</p>
|
||||
</div>
|
||||
);
|
||||
})}
|
||||
</CardContent>
|
||||
{payoutChanged ? (
|
||||
<CardFooter className='justify-start'>
|
||||
<div className='flex w-full flex-col gap-2 sm:w-auto sm:flex-row sm:items-center'>
|
||||
<Button
|
||||
variant='outline'
|
||||
onClick={resetPayout}
|
||||
disabled={loading || saving}
|
||||
>
|
||||
Cancel
|
||||
</Button>
|
||||
<Button onClick={handleSave} disabled={loading || saving}>
|
||||
{saving ? 'Saving...' : 'Save'}
|
||||
</Button>
|
||||
</div>
|
||||
</CardFooter>
|
||||
) : null}
|
||||
</Card>
|
||||
|
||||
{/* Relays */}
|
||||
<Card>
|
||||
<CardHeader>
|
||||
|
||||
Reference in New Issue
Block a user