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litellm/tests/test_litellm/test_utils_custom.py
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2026-01-10 00:57:11 +05:30

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Python

import pytest
import sys
from unittest.mock import MagicMock, patch, AsyncMock
from litellm.proxy.utils import count_tokens_with_anthropic_api, _anthropic_async_clients
@pytest.mark.asyncio
async def test_count_tokens_caching():
"""
Test that count_tokens_with_anthropic_api caches the client.
"""
# Clear cache
_anthropic_async_clients.clear()
api_key = "sk-ant-test-key"
messages = [{"role": "user", "content": "hello"}]
model = "claude-3-opus-20240229"
# Create a mock anthropic module
mock_anthropic = MagicMock()
mock_client = MagicMock()
mock_anthropic.AsyncAnthropic.return_value = mock_client
# Mock response
mock_response = MagicMock()
mock_response.input_tokens = 10
# Setup async return for count_tokens
mock_client.beta.messages.count_tokens = AsyncMock(return_value=mock_response)
# Patch sys.modules to ensure our mock is used when anthropic is imported
with patch.dict(sys.modules, {"anthropic": mock_anthropic}):
# First call
with patch.dict("os.environ", {"ANTHROPIC_API_KEY": api_key}):
await count_tokens_with_anthropic_api(model, messages)
assert api_key in _anthropic_async_clients
assert _anthropic_async_clients[api_key] == mock_client
mock_anthropic.AsyncAnthropic.assert_called_once() # Should be called once
# Second call
with patch.dict("os.environ", {"ANTHROPIC_API_KEY": api_key}):
await count_tokens_with_anthropic_api(model, messages)
# Should still be called once (cached)
mock_anthropic.AsyncAnthropic.assert_called_once()