FakeTracer Class — langchain Architecture
Architecture documentation for the FakeTracer class in test_chat_models.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD d392ee3c_2b59_0f60_2e4d_0c597bd9e905["FakeTracer"] 0f6b3261_31fa_c34e_ca33_cb141bdf78ff["BaseTracer"] d392ee3c_2b59_0f60_2e4d_0c597bd9e905 -->|extends| 0f6b3261_31fa_c34e_ca33_cb141bdf78ff 18428dc5_a41b_90c6_88ad_615296ee3311["test_chat_models.py"] d392ee3c_2b59_0f60_2e4d_0c597bd9e905 -->|defined in| 18428dc5_a41b_90c6_88ad_615296ee3311 55ad7d0f_14fe_d8dc_7169_6a757ad61518["__init__()"] d392ee3c_2b59_0f60_2e4d_0c597bd9e905 -->|method| 55ad7d0f_14fe_d8dc_7169_6a757ad61518 4a92c221_786f_ad18_9a0e_ae66d8e29f5c["_persist_run()"] d392ee3c_2b59_0f60_2e4d_0c597bd9e905 -->|method| 4a92c221_786f_ad18_9a0e_ae66d8e29f5c 5be39afa_04b0_73b2_495d_80294a76f0d1["on_chat_model_start()"] d392ee3c_2b59_0f60_2e4d_0c597bd9e905 -->|method| 5be39afa_04b0_73b2_495d_80294a76f0d1
Relationship Graph
Source Code
libs/partners/anthropic/tests/unit_tests/test_chat_models.py lines 1426–1438
class FakeTracer(BaseTracer):
"""Fake tracer to capture inputs to `chat_model_start`."""
def __init__(self) -> None:
super().__init__()
self.chat_model_start_inputs: list = []
def _persist_run(self, run: Run) -> None:
"""Persist a run."""
def on_chat_model_start(self, *args: Any, **kwargs: Any) -> Run:
self.chat_model_start_inputs.append({"args": args, "kwargs": kwargs})
return super().on_chat_model_start(*args, **kwargs)
Extends
Source
Frequently Asked Questions
What is the FakeTracer class?
FakeTracer is a class in the langchain codebase, defined in libs/partners/anthropic/tests/unit_tests/test_chat_models.py.
Where is FakeTracer defined?
FakeTracer is defined in libs/partners/anthropic/tests/unit_tests/test_chat_models.py at line 1426.
What does FakeTracer extend?
FakeTracer extends BaseTracer.
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