test_rate_limit_ainvoke() — langchain Function Reference
Architecture documentation for the test_rate_limit_ainvoke() function in test_rate_limiting.py from the langchain codebase.
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Dependency Diagram
graph TD 8ad140cd_18c3_eb4b_0519_6df9d850a3b7["test_rate_limit_ainvoke()"] df01695c_1dbe_973d_756a_a5cd86e49330["test_rate_limiting.py"] 8ad140cd_18c3_eb4b_0519_6df9d850a3b7 -->|defined in| df01695c_1dbe_973d_756a_a5cd86e49330 style 8ad140cd_18c3_eb4b_0519_6df9d850a3b7 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/tests/unit_tests/language_models/chat_models/test_rate_limiting.py lines 44–75
async def test_rate_limit_ainvoke() -> None:
"""Add rate limiter."""
model = GenericFakeChatModel(
messages=iter(["hello", "world", "!"]),
rate_limiter=InMemoryRateLimiter(
requests_per_second=20,
check_every_n_seconds=0.1,
max_bucket_size=10,
# At 20 requests per second we see a refresh every 0.05 seconds
),
)
tic = time.time()
await model.ainvoke("foo")
toc = time.time()
# Should be larger than check every n seconds since the token bucket starts
# with 0 tokens.
assert 0.1 < toc - tic < 0.2
tic = time.time()
await model.ainvoke("foo")
toc = time.time()
# The second time we call the model, we should have 1 extra token
# to proceed immediately.
assert toc - tic < 0.1
# The third time we call the model, we need to wait again for a token
tic = time.time()
await model.ainvoke("foo")
toc = time.time()
# Should be larger than check every n seconds since the token bucket starts
# with 0 tokens.
assert 0.1 < toc - tic < 0.2
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Frequently Asked Questions
What does test_rate_limit_ainvoke() do?
test_rate_limit_ainvoke() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/language_models/chat_models/test_rate_limiting.py.
Where is test_rate_limit_ainvoke() defined?
test_rate_limit_ainvoke() is defined in libs/core/tests/unit_tests/language_models/chat_models/test_rate_limiting.py at line 44.
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