Files
routstr-core/tests/integration/test_usage_injection.py
T
2026-04-15 17:19:13 +02:00

146 lines
5.1 KiB
Python

import json
from collections.abc import AsyncGenerator
from unittest.mock import AsyncMock, patch
import pytest
from httpx import AsyncClient
@pytest.mark.integration
@pytest.mark.asyncio
async def test_usage_and_metadata_injection_all_endpoints(
authenticated_client: AsyncClient,
) -> None:
"""Test that usage, cost, and metadata are injected into all completion endpoints."""
endpoints = [
(
"/v1/chat/completions",
{
"model": "gpt-3.5-turbo",
"messages": [{"role": "user", "content": "Hello"}],
},
{
"id": "chatcmpl-123",
"object": "chat.completion",
"model": "gpt-3.5-turbo",
"choices": [{"message": {"content": "Hi"}, "finish_reason": "stop"}],
"usage": {
"prompt_tokens": 10,
"completion_tokens": 5,
"total_tokens": 15,
},
},
),
(
"/v1/messages",
{
"model": "claude-3-opus-20240229",
"messages": [{"role": "user", "content": "Hello"}],
"max_tokens": 100,
},
{
"id": "msg_123",
"type": "message",
"role": "assistant",
"model": "claude-3-opus-20240229",
"content": [{"type": "text", "text": "Hi"}],
"usage": {"input_tokens": 10, "output_tokens": 5},
},
),
]
for path, payload, mock_data in endpoints:
with patch("httpx.AsyncClient.send") as mock_send:
async def mock_iter_bytes(
*args: object, **kwargs: object
) -> AsyncGenerator[bytes, None]:
yield json.dumps(mock_data).encode()
mock_response = AsyncMock()
mock_response.status_code = 200
mock_response.headers = {"content-type": "application/json"}
mock_response.text = json.dumps(mock_data)
mock_response.json = AsyncMock(return_value=mock_data)
mock_response.aiter_bytes = mock_iter_bytes
mock_send.return_value = mock_response
response = await authenticated_client.post(path, json=payload)
assert response.status_code == 200
data = response.json()
if hasattr(data, "__await__"):
data = await data
# Check unified usage injection
assert "usage" in data
assert "cost" in data["usage"]
assert "sats_cost" in data["usage"]
assert "remaining_balance_msats" in data["usage"]
# Check metadata injection
assert "metadata" in data
assert "routstr" in data["metadata"]
assert "cost" in data["metadata"]["routstr"]
assert "sats_cost" in data["metadata"]["routstr"]
assert "remaining_balance_msats" in data["metadata"]["routstr"]
# Check legacy cost injection
assert "cost" in data
assert "sats_cost" in data["cost"]
@pytest.mark.integration
@pytest.mark.asyncio
async def test_streaming_usage_injection(
authenticated_client: AsyncClient,
) -> None:
"""Test usage injection for streaming messages."""
path = "/v1/messages"
payload = {
"model": "claude-3-opus-20240229",
"messages": [{"role": "user", "content": "Hello"}],
"max_tokens": 100,
"stream": True,
}
# Final usage chunk for Anthropic
streaming_chunks = [
b'event: message_start\ndata: {"type": "message_start", "message": {"id": "msg_123", "type": "message", "role": "assistant", "model": "claude-3-opus-20240229", "usage": {"input_tokens": 10, "output_tokens": 0}}}\n\n',
b'event: message_delta\ndata: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence": null}, "usage": {"output_tokens": 5}}\n\n',
b'event: message_stop\ndata: {"type": "message_stop"}\n\n',
]
with patch("httpx.AsyncClient.send") as mock_send:
async def mock_iter_bytes(
*args: object, **kwargs: object
) -> AsyncGenerator[bytes, None]:
for chunk in streaming_chunks:
yield chunk
mock_response = AsyncMock()
mock_response.status_code = 200
mock_response.headers = {"content-type": "text/event-stream"}
mock_response.aiter_bytes = mock_iter_bytes
mock_send.return_value = mock_response
response = await authenticated_client.post(path, json=payload)
assert response.status_code == 200
# In streaming, we look for the final 'event: cost' which is added by Routstr
response_text = response.text
if hasattr(response_text, "__await__"):
response_text = await response_text
lines = response_text.split("\n")
cost_event = next(
(line for line in lines if line.startswith('data: {"cost":')), None
)
assert cost_event is not None
cost_data = json.loads(cost_event[6:])["cost"]
assert "total_msats" in cost_data