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test__format_messages_with_cache_control() — langchain Function Reference

Architecture documentation for the test__format_messages_with_cache_control() function in test_chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  4735cced_eb30_5707_cec3_90b74187caf5["test__format_messages_with_cache_control()"]
  18428dc5_a41b_90c6_88ad_615296ee3311["test_chat_models.py"]
  4735cced_eb30_5707_cec3_90b74187caf5 -->|defined in| 18428dc5_a41b_90c6_88ad_615296ee3311
  style 4735cced_eb30_5707_cec3_90b74187caf5 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/partners/anthropic/tests/unit_tests/test_chat_models.py lines 855–1105

def test__format_messages_with_cache_control() -> None:
    messages = [
        SystemMessage(
            [
                {"type": "text", "text": "foo", "cache_control": {"type": "ephemeral"}},
            ],
        ),
        HumanMessage(
            [
                {"type": "text", "text": "foo", "cache_control": {"type": "ephemeral"}},
                {
                    "type": "text",
                    "text": "foo",
                },
            ],
        ),
    ]
    expected_system = [
        {"type": "text", "text": "foo", "cache_control": {"type": "ephemeral"}},
    ]
    expected_messages = [
        {
            "role": "user",
            "content": [
                {"type": "text", "text": "foo", "cache_control": {"type": "ephemeral"}},
                {"type": "text", "text": "foo"},
            ],
        },
    ]
    actual_system, actual_messages = _format_messages(messages)
    assert expected_system == actual_system
    assert expected_messages == actual_messages

    # Test standard multi-modal format (v0)
    messages = [
        HumanMessage(
            [
                {
                    "type": "text",
                    "text": "Summarize this document:",
                },
                {
                    "type": "file",
                    "source_type": "base64",
                    "mime_type": "application/pdf",
                    "data": "<base64 data>",
                    "cache_control": {"type": "ephemeral"},
                },
            ],
        ),
    ]
    actual_system, actual_messages = _format_messages(messages)
    assert actual_system is None
    expected_messages = [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Summarize this document:",
                },
                {
                    "type": "document",
                    "source": {
                        "type": "base64",
                        "media_type": "application/pdf",
                        "data": "<base64 data>",
                    },
                    "cache_control": {"type": "ephemeral"},
                },
            ],
        },
    ]
    assert actual_messages == expected_messages

    # Test standard multi-modal format (v1)
    messages = [
        HumanMessage(
            [
                {
                    "type": "text",

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Frequently Asked Questions

What does test__format_messages_with_cache_control() do?
test__format_messages_with_cache_control() is a function in the langchain codebase, defined in libs/partners/anthropic/tests/unit_tests/test_chat_models.py.
Where is test__format_messages_with_cache_control() defined?
test__format_messages_with_cache_control() is defined in libs/partners/anthropic/tests/unit_tests/test_chat_models.py at line 855.

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