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Support serialization when inputs/outputs contain generators (#17338)

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Pydantic's `dict()` function raises an error here if you pass in a
generator. We have a more robust serialization function in lagnsmith
that we will use instead.
This commit is contained in:
William FH 2024-02-09 16:24:54 -08:00 committed by GitHub
parent 3a2eb6e12b
commit 7c03cc5ed4
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GPG Key ID: B5690EEEBB952194
2 changed files with 18 additions and 2 deletions
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13
libs/core/langchain_core/tracers/langchain.py
View File

@ -1,4 +1,5 @@
"""A Tracer implementation that records to LangChain endpoint."""
from __future__ import annotations
import logging
@ -62,6 +63,14 @@ def _get_executor() -> ThreadPoolExecutor:
return _EXECUTOR
def _run_to_dict(run: Run) -> dict:
return {
**run.dict(exclude={"child_runs", "inputs", "outputs"}),
"inputs": run.inputs.copy() if run.inputs is not None else None,
"outputs": run.outputs.copy() if run.outputs is not None else None,
}
class LangChainTracer(BaseTracer):
"""Implementation of the SharedTracer that POSTS to the LangChain endpoint."""
@ -150,7 +159,7 @@ class LangChainTracer(BaseTracer):
def _persist_run_single(self, run: Run) -> None:
"""Persist a run."""
run_dict = run.dict(exclude={"child_runs"})
run_dict = _run_to_dict(run)
run_dict["tags"] = self._get_tags(run)
extra = run_dict.get("extra", {})
extra["runtime"] = get_runtime_environment()
@ -165,7 +174,7 @@ class LangChainTracer(BaseTracer):
def _update_run_single(self, run: Run) -> None:
"""Update a run."""
try:
run_dict = run.dict()
run_dict = _run_to_dict(run)
run_dict["tags"] = self._get_tags(run)
self.client.update_run(run.id, **run_dict)
except Exception as e:

7
libs/core/tests/unit_tests/tracers/test_langchain.py
View File

@ -22,6 +22,7 @@ def test_example_id_assignment_threadsafe() -> None:
return unittest.mock.MagicMock()
client = unittest.mock.MagicMock(spec=Client)
client.tracing_queue = None
client.create_run = mock_create_run
tracer = LangChainTracer(client=client)
old_persist_run_single = tracer._persist_run_single
@ -35,6 +36,7 @@ def test_example_id_assignment_threadsafe() -> None:
):
run_id_1 = UUID("9d878ab3-e5ca-4218-aef6-44cbdc90160a")
run_id_2 = UUID("f1f9fa53-8b2f-4742-bdbc-38215f7bd1e1")
run_id_3 = UUID("f1f9fa53-8b2f-4742-bdbc-38215f7cd1e1")
example_id_1 = UUID("57e42c57-8c79-4d9f-8765-bf6cd3a98055")
tracer.example_id = example_id_1
tracer.on_llm_start({"name": "example_1"}, ["foo"], run_id=run_id_1)
@ -44,9 +46,14 @@ def test_example_id_assignment_threadsafe() -> None:
tracer.on_llm_start({"name": "example_2"}, ["foo"], run_id=run_id_2)
tracer.on_llm_end(LLMResult(generations=[], llm_output={}), run_id=run_id_2)
tracer.example_id = None
tracer.on_chain_start(
{"name": "no_examples"}, {"inputs": (i for i in range(10))}, run_id=run_id_3
)
tracer.on_chain_error(ValueError("Foo bar"), run_id=run_id_3)
expected_example_ids = {
run_id_1: example_id_1,
run_id_2: example_id_2,
run_id_3: None,
}
tracer.wait_for_futures()
assert example_ids == expected_example_ids