LUML SDK
Python SDK for ML experiment tracking. LUML lets you log metrics, parameters, models, evaluations, and LLM traces as your experiments run — either locally (SQLite) or synced to the LUML cloud platform.
Main use cases:
- Track training runs: log hyperparameters, metrics over time, final models
- Run and score evaluations on LLM or classical ML outputs
- Capture LLM traces automatically via OpenTelemetry instrumentation
- Upload experiments and models to the LUML platform for sharing and collaboration
Installation
pip install luml-sdk
With optional extras:
pip install luml-sdk[tracing] # LLM tracing via OpenTelemetry
pip install luml-sdk[datasets] # pandas / pyarrow support
Getting your API key
To upload experiments to the LUML platform you need an API key.
- Go to luml.ai and log in
- Open Settings → API Keys
- Click Generate new key and copy it
Set it as an environment variable:
export LUML_API_KEY=your_api_key_here
Documentation
1 maintainer
Metadata
1 maintainer
Release files for luml_sdk 0.4.0
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