This release is a pre-release and may not be stable for production use.
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
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Release files for luml_sdk 0.5.0rc0
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