Home / Function/ test_openai_batch() — langchain Function Reference

test_openai_batch() — langchain Function Reference

Architecture documentation for the test_openai_batch() function in test_azure.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  b69a153f_c754_5bfd_08f2_3d97e9cbea58["test_openai_batch()"]
  671a8443_e2a5_306f_ef66_28e322d543e3["test_azure.py"]
  b69a153f_c754_5bfd_08f2_3d97e9cbea58 -->|defined in| 671a8443_e2a5_306f_ef66_28e322d543e3
  style b69a153f_c754_5bfd_08f2_3d97e9cbea58 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/integration_tests/llms/test_azure.py lines 93–97

def test_openai_batch(llm: AzureOpenAI) -> None:
    """Test streaming tokens from AzureOpenAI."""
    result = llm.batch(["I'm Pickle Rick", "I'm not Pickle Rick"])
    for token in result:
        assert isinstance(token, str)

Domain

Subdomains

Frequently Asked Questions

What does test_openai_batch() do?
test_openai_batch() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/llms/test_azure.py.
Where is test_openai_batch() defined?
test_openai_batch() is defined in libs/partners/openai/tests/integration_tests/llms/test_azure.py at line 93.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free