test_openai_abatch() — langchain Function Reference
Architecture documentation for the test_openai_abatch() function in test_azure.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 4b93a1d3_7c52_e9ab_32f8_64915e4dbc98["test_openai_abatch()"] 671a8443_e2a5_306f_ef66_28e322d543e3["test_azure.py"] 4b93a1d3_7c52_e9ab_32f8_64915e4dbc98 -->|defined in| 671a8443_e2a5_306f_ef66_28e322d543e3 style 4b93a1d3_7c52_e9ab_32f8_64915e4dbc98 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/partners/openai/tests/integration_tests/llms/test_azure.py lines 76–80
async def test_openai_abatch(llm: AzureOpenAI) -> None:
"""Test streaming tokens from AzureOpenAI."""
result = await llm.abatch(["I'm Pickle Rick", "I'm not Pickle Rick"])
for token in result:
assert isinstance(token, str)
Domain
Subdomains
Source
Frequently Asked Questions
What does test_openai_abatch() do?
test_openai_abatch() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/llms/test_azure.py.
Where is test_openai_abatch() defined?
test_openai_abatch() is defined in libs/partners/openai/tests/integration_tests/llms/test_azure.py at line 76.
Analyze Your Own Codebase
Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.
Try Supermodel Free