lmnr

Python SDK for Laminar

lmnr Permissive license Apache-2.0 Active v0.7.59 released 2026-08-11

Install

lmnr on PyPI

pip

pip install lmnr

uv

uv add lmnr

poetry

poetry add lmnr

Package facts

License	Apache-2.0 (permissive)
Python support	supports the current Python release (<4,>=3.10)
Install friction	low — pure-Python wheel
Runtime dependencies	18 — blake3, grpcio, httpx, lmnr-claude-code-proxy, opentelemetry-api, opentelemetry-sdk, opentelemetry-exporter-otlp-proto-http, opentelemetry-exporter-otlp-proto-grpc, opentelemetry-instrumentation, opentelemetry-instrumentation-threading, opentelemetry-semantic-conventions, opentelemetry-semantic-conventions-ai, orjson, packaging, pydantic, python-dotenv, tqdm, tenacity
Maintenance	actively maintained — 2 days since the last release
First released	2024-06-14
Popularity	one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities	none known (OSV.dev, checked 2026-08-13)

Evidence: lmnr-0.7.59-py3-none-any.whl

Programming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14

About lmnr

from the package's own PyPI description — quoted content, verbatim

Laminar Python

Python SDK for Laminar.

Laminar is an open-source platform for engineering LLM products. Trace, evaluate, annotate, and analyze LLM data. Bring LLM applications to production with confidence.

Check our open-source repo and don't forget to star it ⭐

<a href="https://pypi.org/project/lmnr/"> PyPI - Version (image) </a> PyPI - Downloads (image) PyPI - Python Version (image)

Quickstart

First, install the package, specifying the instrumentations you want to use.

For example, to install the package with OpenAI and Anthropic instrumentations:

pip install 'lmnr[anthropic,openai]'

To install all possible instrumentations, use the following command:

pip install 'lmnr[all]'

Initialize Laminar in your code:

from lmnr import Laminar

Laminar.initialize(project_api_key="&lt;PROJECT_API_KEY&gt;")

You can also skip passing the project_api_key, in which case it will be looked in the environment (or local .env...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Python SDK for Laminar, an open-source platform for tracing, evaluating, and analyzing LLM application data. It provides automatic instrumentation of popular LLM libraries, manual span decoration, and local evaluation capabilities.

Low friction install with a pure-Python wheel. Active maintenance (released 2 days ago) and 18 runtime dependencies including opentelemetry, httpx, and pydantic—all stable, widely-used libraries. Supports Python 3.10–3.14.

Apache-2.0 permissive license allows commercial and private use with minimal restrictions; derivative works must retain the license notice.

Usage

pip install lmnr

from lmnr import Laminar

Laminar.initialize(project_api_key="<PROJECT_API_KEY>")

@observe()
def my_function():
    return "result"

Requires LMNR_PROJECT_API_KEY environment variable or explicit initialization with project_api_key parameter; gRPC and HTTP ports (8001, 8000) must be accessible for self-hosted instances.

Verdict: Actively maintained SDK (0.7.59, released 2 days ago) for LLM observability and evaluation on Laminar. No known vulnerabilities, permissive Apache-2.0 license, and low install friction with stable dependencies. Well-suited for teams building LLM applications who want integrated tracing, instrumentation, and evaluation—though adoption depends on Laminar platform availability and API key provisioning.

Needs verification

Whether the 18 runtime dependencies are all optional or if all are required for basic functionality
Whether lmnr-claude-code-proxy is maintained by the same team or is an external dependency
Actual GitHub repository activity and community adoption beyond PyPI download metrics

llm tracing and observabilityopentelemetry instrumentation sdkllm evaluation frameworkautomatic llm call trackinglaminar platform python clientllm application monitoringtrace and evaluate llm outputs