core[minor]: Use batched tracing in sdk (#16305)

Remove threadpool executor usage in langchain tracer, this is now
handled by sdk
pull/17194/head
Nuno Campos 4 months ago committed by GitHub
parent f87b38a559
commit 65798289a4
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194

@ -2,10 +2,9 @@
from __future__ import annotations
import logging
import weakref
from concurrent.futures import Future, ThreadPoolExecutor, wait
from concurrent.futures import ThreadPoolExecutor
from datetime import datetime, timezone
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Union
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
from uuid import UUID
from langsmith import Client
@ -27,7 +26,6 @@ if TYPE_CHECKING:
logger = logging.getLogger(__name__)
_LOGGED = set()
_TRACERS: weakref.WeakSet[LangChainTracer] = weakref.WeakSet()
_CLIENT: Optional[Client] = None
_EXECUTOR: Optional[ThreadPoolExecutor] = None
@ -43,10 +41,9 @@ def log_error_once(method: str, exception: Exception) -> None:
def wait_for_all_tracers() -> None:
"""Wait for all tracers to finish."""
global _TRACERS
for tracer in list(_TRACERS):
if tracer is not None:
tracer.wait_for_futures()
global _CLIENT
if _CLIENT is not None and _CLIENT.tracing_queue is not None:
_CLIENT.tracing_queue.join()
def get_client() -> Client:
@ -74,7 +71,6 @@ class LangChainTracer(BaseTracer):
project_name: Optional[str] = None,
client: Optional[Client] = None,
tags: Optional[List[str]] = None,
use_threading: bool = True,
**kwargs: Any,
) -> None:
"""Initialize the LangChain tracer."""
@ -84,12 +80,8 @@ class LangChainTracer(BaseTracer):
)
self.project_name = project_name or ls_utils.get_tracer_project()
self.client = client or get_client()
self._futures: weakref.WeakSet[Future] = weakref.WeakSet()
self.tags = tags or []
self.executor = _get_executor() if use_threading else None
self.latest_run: Optional[Run] = None
global _TRACERS
_TRACERS.add(self)
def on_chat_model_start(
self,
@ -181,75 +173,69 @@ class LangChainTracer(BaseTracer):
log_error_once("patch", e)
raise
def _submit(self, function: Callable[[Run], None], run: Run) -> None:
"""Submit a function to the executor."""
if self.executor is None:
function(run)
else:
self._futures.add(self.executor.submit(function, run))
def _on_llm_start(self, run: Run) -> None:
"""Persist an LLM run."""
if run.parent_run_id is None:
run.reference_example_id = self.example_id
self._submit(self._persist_run_single, run)
self._persist_run_single(run)
def _on_chat_model_start(self, run: Run) -> None:
"""Persist an LLM run."""
if run.parent_run_id is None:
run.reference_example_id = self.example_id
self._submit(self._persist_run_single, run)
self._persist_run_single(run)
def _on_llm_end(self, run: Run) -> None:
"""Process the LLM Run."""
self._submit(self._update_run_single, run)
self._update_run_single(run)
def _on_llm_error(self, run: Run) -> None:
"""Process the LLM Run upon error."""
self._submit(self._update_run_single, run)
self._update_run_single(run)
def _on_chain_start(self, run: Run) -> None:
"""Process the Chain Run upon start."""
if run.parent_run_id is None:
run.reference_example_id = self.example_id
self._submit(self._persist_run_single, run)
self._persist_run_single(run)
def _on_chain_end(self, run: Run) -> None:
"""Process the Chain Run."""
self._submit(self._update_run_single, run)
self._update_run_single(run)
def _on_chain_error(self, run: Run) -> None:
"""Process the Chain Run upon error."""
self._submit(self._update_run_single, run)
self._update_run_single(run)
def _on_tool_start(self, run: Run) -> None:
"""Process the Tool Run upon start."""
if run.parent_run_id is None:
run.reference_example_id = self.example_id
self._submit(self._persist_run_single, run)
self._persist_run_single(run)
def _on_tool_end(self, run: Run) -> None:
"""Process the Tool Run."""
self._submit(self._update_run_single, run)
self._update_run_single(run)
def _on_tool_error(self, run: Run) -> None:
"""Process the Tool Run upon error."""
self._submit(self._update_run_single, run)
self._update_run_single(run)
def _on_retriever_start(self, run: Run) -> None:
"""Process the Retriever Run upon start."""
if run.parent_run_id is None:
run.reference_example_id = self.example_id
self._submit(self._persist_run_single, run)
self._persist_run_single(run)
def _on_retriever_end(self, run: Run) -> None:
"""Process the Retriever Run."""
self._submit(self._update_run_single, run)
self._update_run_single(run)
def _on_retriever_error(self, run: Run) -> None:
"""Process the Retriever Run upon error."""
self._submit(self._update_run_single, run)
self._update_run_single(run)
def wait_for_futures(self) -> None:
"""Wait for the given futures to complete."""
wait(self._futures)
if self.client is not None and self.client.tracing_queue is not None:
self.client.tracing_queue.join()

@ -1124,13 +1124,13 @@ files = [
[[package]]
name = "langsmith"
version = "0.0.83"
version = "0.0.87"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langsmith-0.0.83-py3-none-any.whl", hash = "sha256:a5bb7ac58c19a415a9d5f51db56dd32ee2cd7343a00825bbc2018312eb3d122a"},
{file = "langsmith-0.0.83.tar.gz", hash = "sha256:94427846b334ad9bdbec3266fee12903fe9f5448f628667689d0412012aaf392"},
{file = "langsmith-0.0.87-py3-none-any.whl", hash = "sha256:8903d3811b9fc89eb18f5961c8e6935fbd2d0f119884fbf30dc70b8f8f4121fc"},
{file = "langsmith-0.0.87.tar.gz", hash = "sha256:36c4cc47e5b54be57d038036a30fb19ce6e4c73048cd7a464b8f25b459694d34"},
]
[package.dependencies]
@ -1164,6 +1164,16 @@ files = [
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{file = "MarkupSafe-2.1.3-cp312-cp312-win_amd64.whl", hash = "sha256:1b8dd8c3fd14349433c79fa8abeb573a55fc0fdd769133baac1f5e07abf54aeb"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
@ -1943,6 +1953,7 @@ files = [
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{file = "PyYAML-6.0.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6965a7bc3cf88e5a1c3bd2e0b5c22f8d677dc88a455344035f03399034eb3007"},
@ -1950,8 +1961,16 @@ files = [
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{file = "PyYAML-6.0.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b04aac4d386b172d5b9692e2d2da8de7bfb6c387fa4f801fbf6fb2e6ba4673"},
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@ -1968,6 +1987,7 @@ files = [
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@ -1975,6 +1995,7 @@ files = [
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{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
@ -2745,4 +2766,4 @@ extended-testing = ["jinja2"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "6cd163ca8c15acc3053e17fa86acce4c27c2d737ebcad633db93c0d7aa3a4a53"
content-hash = "fec5bca68972fa7f7eea00a3cf3e158424bafdf028573611c575c3859ab289c5"

@ -11,7 +11,7 @@ repository = "https://github.com/langchain-ai/langchain"
[tool.poetry.dependencies]
python = ">=3.8.1,<4.0"
pydantic = ">=1,<3"
langsmith = ">=0.0.83,<0.1"
langsmith = "^0.0.87"
tenacity = "^8.1.0"
jsonpatch = "^1.33"
anyio = ">=3,<5"

@ -1145,7 +1145,6 @@ class _DatasetRunContainer:
LangChainTracer(
project_name=project.name,
client=client,
use_threading=False,
example_id=example.id,
),
EvaluatorCallbackHandler(

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