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invoke_with_cache_read_input() — langchain Function Reference

Architecture documentation for the invoke_with_cache_read_input() function in test_base_standard.py from the langchain codebase.

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

Dependency Diagram

graph TD
  76f443df_7898_9354_0cd0_7303ea53ca78["invoke_with_cache_read_input()"]
  59b2cda2_7dec_b2fd_a101_d5afcda5ed66["TestOpenAIStandard"]
  76f443df_7898_9354_0cd0_7303ea53ca78 -->|defined in| 59b2cda2_7dec_b2fd_a101_d5afcda5ed66
  9418c95f_3a5b_0518_1e96_0913ee96a6b8["_invoke()"]
  76f443df_7898_9354_0cd0_7303ea53ca78 -->|calls| 9418c95f_3a5b_0518_1e96_0913ee96a6b8
  style 76f443df_7898_9354_0cd0_7303ea53ca78 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py lines 64–75

    def invoke_with_cache_read_input(self, *, stream: bool = False) -> AIMessage:
        with Path.open(REPO_ROOT_DIR / "README.md") as f:
            readme = f.read()

        input_ = f"""What's langchain? Here's the langchain README:

        {readme}
        """
        llm = ChatOpenAI(model="gpt-4o-mini", stream_usage=True)
        _invoke(llm, input_, stream)
        # invoke twice so first invocation is cached
        return _invoke(llm, input_, stream)

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Defined In

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Source

Frequently Asked Questions

What does invoke_with_cache_read_input() do?
invoke_with_cache_read_input() is a function in the langchain codebase, defined in libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py.
Where is invoke_with_cache_read_input() defined?
invoke_with_cache_read_input() is defined in libs/partners/openai/tests/integration_tests/chat_models/test_base_standard.py at line 64.
What does invoke_with_cache_read_input() call?
invoke_with_cache_read_input() calls 1 function(s): _invoke.

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