Compare commits

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Author SHA1 Message Date
Shroominic 41fd2e2dfc fix typing 2025-12-24 12:12:32 +01:00
Shroominic 2c404c66d6 ruff fix 2025-12-24 12:10:51 +01:00
Shroominic 0fa3e77f9a more examples for devs and testing 2025-12-24 12:09:50 +01:00
shroominicandGitHub 9594e9fb52 Merge pull request #251 from Routstr/embeddings-integration
Embeddings integration
2025-12-23 20:53:26 +01:00
shroominicandGitHub d203370f01 Merge pull request #265 from Routstr/update-cost-calculation
use cost field if available
2025-12-22 10:20:35 +01:00
Shroominic e39742c429 rm completion_image pricing with manual overrides 2025-12-22 09:35:23 +01:00
Shroominic 301dd81215 include openrouters upstream_inference_cost + manually add gemini image completion cost 2025-12-21 09:55:25 +01:00
9qeklajc 5416cefd87 use cost field if available 2025-12-20 16:16:23 +01:00
shroominicandGitHub 8edc3512c1 Merge pull request #258 from Routstr/remove-flaky-wallet-tests
Remove flaky wallet tests
2025-12-19 10:54:26 +01:00
Shroominic 590fb4bc2c ruff fix 2025-12-11 14:13:41 +08:00
Shroominic 5db9abc3ce remove flaky wallet tests 2025-12-11 14:12:34 +08:00
18 changed files with 284 additions and 241 deletions
-37
View File
@@ -1,37 +0,0 @@
import os
import openai
client = openai.OpenAI(
api_key=os.environ["CASHU_TOKEN"],
base_url=os.environ.get("ROUTSTR_API_URL", "https://api.routstr.com/v1"),
# base_url="http://roustrjfsdgfiueghsklchg.onion/v1",
# client=httpx.AsyncClient(
# proxies={"http": "socks5://localhost:9050"},
# ), # to use onion proxy (tor)
)
history: list = []
def chat() -> None:
while True:
user_msg = {"role": "user", "content": input("\nYou: ")}
history.append(user_msg)
ai_msg = {"role": "assistant", "content": ""}
for chunk in client.chat.completions.create(
model=os.environ.get("MODEL", "openai/gpt-4o-mini"),
messages=history,
stream=True,
):
if len(chunk.choices) > 0:
content = chunk.choices[0].delta.content
if content is not None:
ai_msg["content"] += content
print(content, end="", flush=True)
print()
history.append(ai_msg)
if __name__ == "__main__":
chat()
+11
View File
@@ -0,0 +1,11 @@
import os
import httpx
# Use your Cashu token or API key as the Bearer token,
# cashu token is hashed on the server and acts as an Temporary API key
headers = {"Authorization": f"Bearer {os.environ.get('TOKEN')}"}
base_url = os.environ.get("API_URL", "https://api.routstr.com/v1")
resp = httpx.get(f"{base_url}/balance/info", headers=headers)
print(resp.json())
+15
View File
@@ -0,0 +1,15 @@
import os
import httpx
# Send a Cashu token to the /create endpoint to get a persistent API key
token = os.environ.get("TOKEN")
if not token:
print("Please set TOKEN environment variable with a Cashu token")
exit(1)
base_url = os.environ.get("API_URL", "https://api.routstr.com/v1")
resp = httpx.get(f"{base_url}/balance/create", params={"initial_balance_token": token})
print(resp.json())
+12
View File
@@ -0,0 +1,12 @@
import os
import httpx
# Use your Cashu token or API key as the Bearer token
headers = {"Authorization": f"Bearer {os.environ.get('TOKEN')}"}
base_url = os.environ.get("API_URL", "https://api.routstr.com/v1")
resp = httpx.post(f"{base_url}/balance/refund", headers=headers)
print("Refund successful!")
print(resp.json())
+16
View File
@@ -0,0 +1,16 @@
import os
import httpx
# Use your Cashu token or API key as the Bearer token
headers = {"Authorization": f"Bearer {os.environ.get('TOKEN')}"}
base_url = os.environ.get("API_URL", "https://api.routstr.com/v1")
# The Cashu token to top up with
cashu_token = input("Enter Cashu token to top up: ")
resp = httpx.post(
f"{base_url}/balance/topup", headers=headers, json={"cashu_token": cashu_token}
)
print(resp.json())
+15
View File
@@ -0,0 +1,15 @@
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("TOKEN"),
base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
)
response = client.chat.completions.create(
model=os.environ.get("MODEL", "gpt-5-nano"),
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
+19
View File
@@ -0,0 +1,19 @@
import os
import httpx
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("TOKEN", ""),
base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
)
for model in client.models.list():
print(model.id)
# OR
models = httpx.get(
f"{client.base_url}/v1/models",
headers={"Authorization": f"Bearer {client.api_key}"},
).json()
+31
View File
@@ -0,0 +1,31 @@
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("TOKEN"),
base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
)
conversation = [] # type: ignore
# First turn
response1 = client.responses.create( # type: ignore
model="o4-mini",
input="Hi, my name is Alice.",
conversation=conversation,
)
print("Response 1:", response1.output)
# Note: The 'conversation' parameter might need to be constructed differently
# depending on exact SDK/API spec. Typically, you pass back the previous turn's data.
# Assuming the SDK manages or returns a conversation object/ID:
# conversation.append(response1)
# Second turn - demonstrating intent, actual implementation depends on strict API spec
# response2 = client.responses.create(
# model="openai/gpt-4o-mini",
# input="What is my name?",
# conversation=conversation,
# )
# print("Response 2:", response2.output)
+17
View File
@@ -0,0 +1,17 @@
import os
from openai import OpenAI
# The OpenAI SDK handles the 'responses' endpoint if it's updated to the latest version
# and the base_url points to a compatible proxy like Routstr.
client = OpenAI(
api_key=os.environ.get("TOKEN"),
base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
)
response = client.responses.create(
model="gpt-5-mini",
input="Tell me a three sentence bedtime story about a unicorn.",
)
print(response.output)
+20
View File
@@ -0,0 +1,20 @@
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("TOKEN"),
base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
)
stream = client.responses.create(
model="claude-4.5-sonnet",
input="Write a short poem about rust.",
stream=True,
)
for event in stream:
# Note: Depending on the SDK version and response structure,
# you might access event.output_delta or similar fields
print(event, end="", flush=True)
print()
+16
View File
@@ -0,0 +1,16 @@
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("TOKEN"),
base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
)
response = client.responses.create(
model="gpt-5-mini",
input="What is the latest news about AI?",
tools=[{"type": "web_search"}], # type: ignore
)
print(response.output)
+28
View File
@@ -0,0 +1,28 @@
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ.get("TOKEN"),
base_url=os.environ.get("API_URL", "https://api.routstr.com/v1"),
)
messages = []
while True:
messages.append({"role": "user", "content": input("\nYou: ")})
stream = client.chat.completions.create(
model=os.environ.get("MODEL", "gpt-5.1-mini"),
messages=messages, # type: ignore
stream=True,
)
print("AI: ", end="")
response_content = ""
for chunk in stream:
if content := chunk.choices[0].delta.content: # type: ignore
print(content, end="", flush=True)
response_content += content
print()
messages.append({"role": "assistant", "content": response_content})
+20
View File
@@ -0,0 +1,20 @@
import os
import httpx
from openai import OpenAI
# Requires `pip install "httpx[socks]"` and a running Tor proxy on port 9050
client = OpenAI(
api_key=os.environ.get("TOKEN"),
base_url=os.environ.get("ONION_URL", "http://roustrjfsdgfiueghsklchg.onion/v1"),
http_client=httpx.Client(proxies="socks5://localhost:9050"),
)
print(
client.chat.completions.create(
model="openai/gpt-4o-mini",
messages=[{"role": "user", "content": "Hello from Tor!"}],
)
.choices[0]
.message.content
)
+1
View File
@@ -73,6 +73,7 @@ packages = ["routstr"]
[tool.ruff.lint]
select = ["E", "F", "I"]
ignore = ["E501"]
exclude = ["examples"]
[tool.mypy]
python_version = "3.11"
+62 -2
View File
@@ -5,6 +5,7 @@ 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
logger = get_logger(__name__)
@@ -64,6 +65,56 @@ async def calculate_cost( # todo: can be sync
)
return cost_data
usage_data = response_data["usage"]
usd_cost = 0.0
# Prioritize cost_details.upstream_inference_cost
if "cost_details" in usage_data:
usd_cost = float(
usage_data["cost_details"].get("upstream_inference_cost", 0) or 0
)
# Fallback to cost field if upstream_inference_cost is 0
if usd_cost == 0 and "cost" in usage_data:
try:
usd_cost = float(usage_data.get("cost", 0) or 0)
except Exception:
pass
if usd_cost > 0:
try:
sats_per_usd = 1.0 / sats_usd_price()
cost_in_sats = usd_cost * sats_per_usd
cost_in_msats = math.ceil(cost_in_sats * 1000)
logger.info(
"Using cost from usage data/details",
extra={
"usd_cost": usd_cost,
"cost_in_sats": cost_in_sats,
"cost_in_msats": cost_in_msats,
"model": response_data.get("model", "unknown"),
},
)
return CostData(
base_msats=-1,
input_msats=-1, # Cost field doesn't break down by token type
output_msats=-1,
total_msats=cost_in_msats,
)
except Exception as e:
logger.warning(
"Error calculating cost from usage data",
extra={
"error": str(e),
"usd_cost": usd_cost,
"model": response_data.get("model", "unknown"),
},
)
# Fall through to token-based calculation
MSATS_PER_1K_INPUT_TOKENS: float = (
float(settings.fixed_per_1k_input_tokens) * 1000.0
)
@@ -129,10 +180,19 @@ async def calculate_cost( # todo: can be sync
)
return cost_data
input_tokens = response_data.get("usage", {}).get("prompt_tokens", 0)
output_tokens = response_data.get("usage", {}).get("completion_tokens", 0)
input_tokens = usage_data.get("prompt_tokens", 0)
output_tokens = usage_data.get("completion_tokens", 0)
# added for response api
input_tokens = (
input_tokens if input_tokens != 0 else usage_data.get("input_tokens", 0)
)
output_tokens = (
output_tokens if output_tokens != 0 else usage_data.get("output_tokens", 0)
)
input_msats = round(input_tokens / 1000 * MSATS_PER_1K_INPUT_TOKENS, 3)
output_msats = round(output_tokens / 1000 * MSATS_PER_1K_OUTPUT_TOKENS, 3)
token_based_cost = math.ceil(input_msats + output_msats)
@@ -3,7 +3,6 @@ Integration tests for wallet authentication system including API key generation
Tests POST /v1/wallet/topup endpoint and authorization header validation.
"""
import hashlib
from datetime import datetime, timedelta
from typing import Any
@@ -15,7 +14,6 @@ from routstr.core.db import ApiKey
from .utils import (
CashuTokenGenerator,
ConcurrencyTester,
ResponseValidator,
)
@@ -389,69 +387,6 @@ async def test_api_key_with_expiry_time(
# The expiry time and refund address functionality is tested elsewhere
@pytest.mark.integration
@pytest.mark.asyncio
async def test_concurrent_token_submissions(
integration_client: AsyncClient, testmint_wallet: Any, integration_session: Any
) -> None:
"""Test concurrent submissions of different tokens"""
# Generate multiple unique tokens with known amounts
num_tokens = 10
tokens = []
expected_balances = {}
for i in range(num_tokens):
amount = 100 + i * 10
token = await testmint_wallet.mint_tokens(amount)
tokens.append(token)
# Store expected balance by token hash
hashed_key = hashlib.sha256(token.encode()).hexdigest()
expected_balances[hashed_key] = amount * 1000 # msats
# Create concurrent requests
requests = [
{
"method": "GET",
"url": "/v1/wallet/info",
"headers": {"Authorization": f"Bearer {token}"},
}
for token in tokens
]
# Execute concurrently
tester = ConcurrencyTester()
responses = await tester.run_concurrent_requests(
integration_client, requests, max_concurrent=5
)
# All should succeed
assert len(responses) == num_tokens
api_keys = set()
for response in responses:
assert response.status_code == 200
data = response.json()
api_key = data["api_key"]
api_keys.add(api_key)
# Verify balance matches the expected amount
hashed_key = api_key[3:] # Remove "sk-" prefix
assert data["balance"] == expected_balances[hashed_key]
# Should have created unique API keys
assert len(api_keys) == num_tokens
# Verify all keys exist in database
for api_key in api_keys:
hashed_key = api_key[3:] # Remove "sk-" prefix
result = await integration_session.execute(
select(ApiKey).where(ApiKey.hashed_key == hashed_key) # type: ignore[arg-type]
)
db_key = result.scalar_one()
assert db_key.balance == expected_balances[hashed_key]
@pytest.mark.integration
@pytest.mark.asyncio
async def test_authorization_with_cashu_token_directly(
@@ -504,48 +439,6 @@ async def test_x_cashu_header_support(
assert response.status_code == 200
@pytest.mark.integration
@pytest.mark.asyncio
@pytest.mark.slow
async def test_api_key_consistency_under_load(
integration_client: AsyncClient, testmint_wallet: Any, integration_session: Any
) -> None:
"""Test API key generation consistency under concurrent load"""
# Generate a single token
token = await testmint_wallet.mint_tokens(1000)
# First request to create the API key
integration_client.headers["Authorization"] = f"Bearer {token}"
initial_response = await integration_client.get("/v1/wallet/info")
assert initial_response.status_code == 200
expected_api_key = initial_response.json()["api_key"]
expected_balance = initial_response.json()["balance"]
# Try to use the same token concurrently multiple times
# All should return the same API key since it's already created
requests = [
{
"method": "GET",
"url": "/v1/wallet/info",
"headers": {"Authorization": f"Bearer {token}"},
}
for _ in range(20) # 20 concurrent attempts
]
tester = ConcurrencyTester()
responses = await tester.run_concurrent_requests(
integration_client, requests, max_concurrent=10
)
# All should succeed and return the same API key
for response in responses:
assert response.status_code == 200
data = response.json()
assert data["api_key"] == expected_api_key
assert data["balance"] == expected_balance
@pytest.mark.integration
@pytest.mark.asyncio
async def test_database_timestamp_accuracy(
+1 -40
View File
@@ -13,7 +13,7 @@ from sqlmodel import select, update
from routstr.core.db import ApiKey
from .utils import ConcurrencyTester, ResponseValidator
from .utils import ResponseValidator
@pytest.mark.integration
@@ -204,45 +204,6 @@ async def test_expired_api_key_behavior(
assert db_key.refund_address == "test@lightning.address"
@pytest.mark.integration
@pytest.mark.asyncio
async def test_concurrent_access_same_api_key(
integration_client: AsyncClient, authenticated_client: AsyncClient
) -> None:
"""Test concurrent access with the same API key"""
# Get the API key from authenticated client
response = await authenticated_client.get("/v1/wallet/")
api_key = response.json()["api_key"]
initial_balance = response.json()["balance"]
# Create multiple concurrent requests
requests = []
for i in range(20):
# Alternate between both endpoints
endpoint = "/v1/wallet/" if i % 2 == 0 else "/v1/wallet/info"
requests.append(
{
"method": "GET",
"url": endpoint,
"headers": {"Authorization": f"Bearer {api_key}"},
}
)
# Execute concurrently
tester = ConcurrencyTester()
responses = await tester.run_concurrent_requests(
integration_client, requests, max_concurrent=10
)
# All should succeed with consistent data
for response in responses:
assert response.status_code == 200
data = response.json()
assert data["api_key"] == api_key
assert data["balance"] == initial_balance
@pytest.mark.integration
@pytest.mark.asyncio
async def test_wallet_info_data_consistency(
-55
View File
@@ -15,7 +15,6 @@ from routstr.core.db import ApiKey
from .utils import (
CashuTokenGenerator,
ConcurrencyTester,
ResponseValidator,
)
@@ -284,60 +283,6 @@ async def test_transaction_history_tracking( # type: ignore[no-untyped-def]
assert response.status_code == 400
@pytest.mark.integration
@pytest.mark.asyncio
async def test_concurrent_topups_same_api_key( # type: ignore[no-untyped-def]
integration_client: AsyncClient,
authenticated_client: AsyncClient,
testmint_wallet: Any,
) -> None:
"""Test concurrent top-ups to the same API key"""
# Get API key
response = await authenticated_client.get("/v1/wallet/")
api_key = response.json()["api_key"]
initial_balance = response.json()["balance"]
# Generate multiple unique tokens
num_tokens = 10
tokens = []
total_amount = 0
for i in range(num_tokens):
amount = 100 + i * 10 # Different amounts
token = await testmint_wallet.mint_tokens(amount)
tokens.append(token)
total_amount += amount
# Create concurrent top-up requests
requests = [
{
"method": "POST",
"url": "/v1/wallet/topup",
"params": {"cashu_token": token},
"headers": {"Authorization": f"Bearer {api_key}"},
}
for token in tokens
]
# Execute concurrently
tester = ConcurrencyTester()
responses = await tester.run_concurrent_requests(
integration_client, requests, max_concurrent=5
)
# All should succeed
for response in responses:
assert response.status_code == 200
assert "msats" in response.json()
# Verify final balance is correct
final_response = await authenticated_client.get("/v1/wallet/")
final_balance = final_response.json()["balance"]
expected_balance = initial_balance + (total_amount * 1000)
assert final_balance == expected_balance
@pytest.mark.integration
@pytest.mark.asyncio
async def test_topup_during_active_proxy_request( # type: ignore[no-untyped-def]