test_batch() — langchain Function Reference
Architecture documentation for the test_batch() function in test_base.py from the langchain codebase.
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Dependency Diagram
graph TD 1cc60ef8_6103_7640_dcd7_ad8785506821["test_batch()"] 2edc9f83_2189_a9c8_70f5_10e2e98e8272["test_base.py"] 1cc60ef8_6103_7640_dcd7_ad8785506821 -->|defined in| 2edc9f83_2189_a9c8_70f5_10e2e98e8272 style 1cc60ef8_6103_7640_dcd7_ad8785506821 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/partners/openai/tests/integration_tests/llms/test_base.py lines 49–55
def test_batch() -> None:
"""Test batch tokens from OpenAI."""
llm = OpenAI()
result = llm.batch(["I'm Pickle Rick", "I'm not Pickle Rick"])
for token in result:
assert isinstance(token, str)
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Frequently Asked Questions
What does test_batch() do?
test_batch() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/llms/test_base.py.
Where is test_batch() defined?
test_batch() is defined in libs/partners/openai/tests/integration_tests/llms/test_base.py at line 49.
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