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invoke_with_cache_read_input() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase calls 1

Entity Profile

Dependency Diagram

graph TD
  f94ea83b_6f8c_3303_ea07_185c3e5ae19d["invoke_with_cache_read_input()"]
  25cafc0a_8f3b_2d49_7e58_88f79aca1167["TestOpenAIResponses"]
  f94ea83b_6f8c_3303_ea07_185c3e5ae19d -->|defined in| 25cafc0a_8f3b_2d49_7e58_88f79aca1167
  3b067821_fac2_9f7c_2f0e_98992a056f44["_invoke()"]
  f94ea83b_6f8c_3303_ea07_185c3e5ae19d -->|calls| 3b067821_fac2_9f7c_2f0e_98992a056f44
  style f94ea83b_6f8c_3303_ea07_185c3e5ae19d fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/openai/tests/integration_tests/chat_models/test_responses_standard.py lines 35–46

    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-4.1-mini", use_responses_api=True)
        _invoke(llm, input_, stream)
        # invoke twice so first invocation is cached
        return _invoke(llm, input_, stream)

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Defined In

Calls

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_responses_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_responses_standard.py at line 35.
What does invoke_with_cache_read_input() call?
invoke_with_cache_read_input() calls 1 function(s): _invoke.

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