test_tracer_chat_model_run() — langchain Function Reference

Architecture documentation for the test_tracer_chat_model_run() function in test_base_tracer.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_tracer_chat_model_run() — langchain Function Reference

Dependency Diagram

graph TD
  91337d67_1876_2a7d_c715_15be4084b3ef["test_tracer_chat_model_run()"]
  013f89c1_4436_b008_1552_7a3ea97dace9["test_base_tracer.py"]
  91337d67_1876_2a7d_c715_15be4084b3ef -->|defined in| 013f89c1_4436_b008_1552_7a3ea97dace9
  style 91337d67_1876_2a7d_c715_15be4084b3ef fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/tracers/test_base_tracer.py lines 92–119

def test_tracer_chat_model_run() -> None:
    """Test tracer on a Chat Model run."""
    tracer = FakeTracer()
    manager = CallbackManager(handlers=[tracer])
    run_managers = manager.on_chat_model_start(
        serialized=SERIALIZED_CHAT, messages=[[HumanMessage(content="")]]
    )
    compare_run = Run(
        id=str(run_managers[0].run_id),
        name="chat_model",
        start_time=datetime.now(timezone.utc),
        end_time=datetime.now(timezone.utc),
        events=[
            {"name": "start", "time": datetime.now(timezone.utc)},
            {"name": "end", "time": datetime.now(timezone.utc)},
        ],
        extra={},
        serialized=SERIALIZED_CHAT,
        inputs={"prompts": ["Human: "]},
        outputs=LLMResult(generations=[[]]).model_dump(),
        error=None,
        run_type="llm",
        trace_id=run_managers[0].run_id,
        dotted_order=f"20230101T000000000000Z{run_managers[0].run_id}",
    )
    for run_manager in run_managers:
        run_manager.on_llm_end(response=LLMResult(generations=[[]]))
    assert tracer.runs == [compare_run]