test_batch() — langchain Function Reference
Architecture documentation for the test_batch() function in test_llms.py from the langchain codebase.
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Dependency Diagram
graph TD ae7c5edc_5f42_a344_7114_e88d996b09a9["test_batch()"] 15bd5c4f_97a3_2536_2af4_954ef3df2a7c["test_llms.py"] ae7c5edc_5f42_a344_7114_e88d996b09a9 -->|defined in| 15bd5c4f_97a3_2536_2af4_954ef3df2a7c style ae7c5edc_5f42_a344_7114_e88d996b09a9 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/partners/fireworks/tests/integration_tests/test_llms.py lines 84–90
def test_batch() -> None:
"""Test batch tokens from Fireworks."""
llm = Fireworks(model=_MODEL)
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/fireworks/tests/integration_tests/test_llms.py.
Where is test_batch() defined?
test_batch() is defined in libs/partners/fireworks/tests/integration_tests/test_llms.py at line 84.
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