Home / Function/ test_run_chat_model_all_formats() — langchain Function Reference

test_run_chat_model_all_formats() — langchain Function Reference

Architecture documentation for the test_run_chat_model_all_formats() function in test_runner_utils.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  8ee18d53_1cf5_eaf0_0b5b_7c1f064cb9d8["test_run_chat_model_all_formats()"]
  c6cd417d_d0bc_a309_dd34_61e338d2ac18["test_runner_utils.py"]
  8ee18d53_1cf5_eaf0_0b5b_7c1f064cb9d8 -->|defined in| c6cd417d_d0bc_a309_dd34_61e338d2ac18
  style 8ee18d53_1cf5_eaf0_0b5b_7c1f064cb9d8 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py lines 238–240

def test_run_chat_model_all_formats(inputs: dict[str, Any]) -> None:
    llm = FakeChatModel()
    _run_llm(llm, inputs, mock.MagicMock())

Domain

Subdomains

Frequently Asked Questions

What does test_run_chat_model_all_formats() do?
test_run_chat_model_all_formats() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py.
Where is test_run_chat_model_all_formats() defined?
test_run_chat_model_all_formats() is defined in libs/langchain/tests/unit_tests/smith/evaluation/test_runner_utils.py at line 238.

Analyze Your Own Codebase

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

Try Supermodel Free