langchainplus-sdk
Client library to connect to the LangSmith LLM Tracing and Evaluation Platform.
Decision gist · record as of 2026-08-14
No—this package is abandoned (last release July 2023, 1138 days ago) with no active maintenance. If you need LangSmith integration, verify whether LangChain itself now includes native support or whether LangSmith has released a newer, actively maintained client. Installing an unmaintained SDK for a third-party platform creates long-term maintenance and compatibility risk.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires LANGCHAIN_ENDPOINT and LANGCHAIN_API_KEY environment variables or explicit connection parameters to connect to LangSmith.
- Low install friction with three common runtime dependencies (pydantic, requests, tenacity).
- However, the package is abandoned—last release was 2023-07-03, over 1138 days ago.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
last release 2023-07-03 (1138 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 702,264 downloads/mo, #5,286 on PyPI
Alternatives
Verify before relying
pip install langchainplus-sdk
from langchainplus_sdk.run_trees import RunTree
run = RunTree(
name="My Agent",
run_type="chain",
inputs={"text": "example"},
serialized={}
)
run.end(outputs={"result": "done"})
run.post()- Whether LangSmith platform itself remains actively maintained and whether this SDK version remains compatible with current platform APIs.
- Whether the package has been superseded by a newer client library or integration method.
What it is and what it does
The langchainplus-sdk is a Python client for LangSmith, a platform designed to help teams develop, debug, and evaluate language model applications. It provides two main integration paths: seamless tracing within LangChain applications via environment variables, and standalone trace logging through RunTree objects for non-LangChain frameworks. The package depends on pydantic for data validation, requests for HTTP communication, and tenacity for retry logic.
Typical workflows involve setting up LangSmith credentials, logging execution traces from your LLM application, then using the platform to create datasets from those traces and run evaluations. The SDK handles batching and posting of nested run hierarchies to the LangSmith backend. However, the package has not been updated since July 2023 and is marked as abandoned, meaning no active maintenance, bug fixes, or compatibility updates are being provided.
Use it for
- Log traces from LangChain applications by setting environment variables and letting the SDK automatically capture execution flow.
- Track custom LLM, chain, and tool invocations outside LangChain using RunTree to build hierarchical execution records.
- Convert stored execution runs into datasets for model evaluation and fine-tuning experiments.
- Evaluate LLM outputs against reference answers using custom scoring functions via the StringEvaluator interface.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—this package is abandoned (last release July 2023, 1138 days ago) with no active maintenance.
If you need LangSmith integration, verify whether LangChain itself now includes native support or whether LangSmith has released a newer, actively maintained client. Installing an unmaintained SDK for a third-party platform creates long-term maintenance and compatibility risk.
Install
langchainplus-sdk on PyPI
Before you install
Low install friction with three common runtime dependencies (pydantic, requests, tenacity). However, the package is abandoned—last release was 2023-07-03, over 1138 days ago. No active maintenance or security updates.
Requires LANGCHAIN_ENDPOINT and LANGCHAIN_API_KEY environment variables or explicit connection parameters to connect to LangSmith.
License in practice
MIT license permits commercial and private use with minimal restrictions, requiring only license and copyright notice retention.
Quickstart
pip install langchainplus-sdk
from langchainplus_sdk.run_trees import RunTree
run = RunTree(
name="My Agent",
run_type="chain",
inputs={"text": "example"},
serialized={}
)
run.end(outputs={"result": "done"})
run.post()Verify before relying
- Whether LangSmith platform itself remains actively maintained and whether this SDK version remains compatible with current platform APIs.
- Whether the package has been superseded by a newer client library or integration method.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8.1,<4.0 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 3 packagespydanticrequeststenacity |
| Maintenance | Abandoned 1,138 days since the last release |
| First released | |
| Downloads | 702,264 / month, #5,286 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.9 |
Evidence: langchainplus_sdk-0.0.20-py3-none-any.whl
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See also langsmith · langsmith-fetch · langchain · langchain-core · braintrust-langchain · langchain-community · langchain-cli · qianfan · opentelemetry-instrumentation-langchain · langsmith-mcp-server