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fake_model() — langchain Function Reference

Architecture documentation for the fake_model() function in test_middleware_typing.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  8fceeb09_fa7f_47c8_dc3c_6292d7892104["fake_model()"]
  689eac1f_5845_440c_f60b_988968e02ee6["test_middleware_typing.py"]
  8fceeb09_fa7f_47c8_dc3c_6292d7892104 -->|defined in| 689eac1f_5845_440c_f60b_988968e02ee6
  style 8fceeb09_fa7f_47c8_dc3c_6292d7892104 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware_typing/test_middleware_typing.py lines 234–236

def fake_model() -> GenericFakeChatModel:
    """Create a fake model for testing."""
    return GenericFakeChatModel(messages=iter([AIMessage(content="Hello")]))

Domain

Subdomains

Defined In

Source

Frequently Asked Questions

What does fake_model() do?
fake_model() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware_typing/test_middleware_typing.py.
Where is fake_model() defined?
fake_model() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware_typing/test_middleware_typing.py at line 234.

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