Home / Function/ _import_fake() — langchain Function Reference

_import_fake() — langchain Function Reference

Architecture documentation for the _import_fake() function in __init__.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  3a796c95_1032_f2d3_3af2_3ea524d289b6["_import_fake()"]
  2c74953f_f09a_25b9_cd49_d2b3d6fed35a["__init__.py"]
  3a796c95_1032_f2d3_3af2_3ea524d289b6 -->|defined in| 2c74953f_f09a_25b9_cd49_d2b3d6fed35a
  style 3a796c95_1032_f2d3_3af2_3ea524d289b6 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/llms/__init__.py lines 166–169

def _import_fake() -> Any:
    from langchain_core.language_models import FakeListLLM

    return FakeListLLM

Domain

Subdomains

Frequently Asked Questions

What does _import_fake() do?
_import_fake() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/llms/__init__.py.
Where is _import_fake() defined?
_import_fake() is defined in libs/langchain/langchain_classic/llms/__init__.py at line 166.

Analyze Your Own Codebase

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

Try Supermodel Free