test_tracer_multiple_llm_runs() — langchain Function Reference

Architecture documentation for the test_tracer_multiple_llm_runs() function in test_async_base_tracer.py from the langchain codebase.

Function python CoreAbstractions RunnableInterface

Entity Profile

CoreAbstractions→ RunnableInterface→ test_tracer_multiple_llm_runs() — langchain Function Reference

Dependency Diagram

graph TD
  c0d61aa7_33f9_11fe_0d5a_0e9dbbfe0061["test_tracer_multiple_llm_runs()"]
  fafe6e9a_57bb_c323_638d_461ac496c1f9["test_async_base_tracer.py"]
  c0d61aa7_33f9_11fe_0d5a_0e9dbbfe0061 -->|defined in| fafe6e9a_57bb_c323_638d_461ac496c1f9
  style c0d61aa7_33f9_11fe_0d5a_0e9dbbfe0061 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/tracers/test_async_base_tracer.py lines 127–155

async def test_tracer_multiple_llm_runs() -> None:
    """Test the tracer with multiple runs."""
    uuid = uuid4()
    compare_run = Run(
        id=uuid,
        name="llm",
        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,
        inputs={"prompts": []},
        outputs=LLMResult(generations=[[]]).model_dump(),
        error=None,
        run_type="llm",
        trace_id=uuid,
        dotted_order=f"20230101T000000000000Z{uuid}",
    )
    tracer = FakeAsyncTracer()

    num_runs = 10
    for _ in range(num_runs):
        await tracer.on_llm_start(serialized=SERIALIZED, prompts=[], run_id=uuid)
        await tracer.on_llm_end(response=LLMResult(generations=[[]]), run_id=uuid)

    assert tracer.runs == [compare_run] * num_runs