actualization-harbor
Agent-agnostic training harbor. The harbor doesn't care what kind of ship you are — it adjusts the channel depth to fit your hull.
Any agent can dock, get assessed, receive adapted training flow, and depart more capable. Detects model type, context window, capabilities, and preferred tempo. Generates adaptations automatically.
Usage
from actualization_harbor import ActualizationHarbor
harbor = ActualizationHarbor()
harbor.register("jetson-agent", model_type="llm-7b", context_window=4096,
capabilities=["edge", "cuda"])
harbor.enter("jetson-agent")
adaptations = harbor.assess("jetson-agent")
harbor.train("jetson-agent")
harbor.integrate("jetson-agent")
harbor.depart("jetson-agent")
Zero deps. pip install actualization-harbor
1 maintainer
Metadata
1 maintainer
Release files for actualization-harbor 0.1.0
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| File | Size | Uploaded | Provenance | Actions |
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| actualization_harbor-0.1.0.tar.gz | 3.5 kB | Without provenance | Details for actualization_harbor-0.1.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| actualization_harbor-0.1.0-py3-none-any.whl | Python 3 | none | any | Details for actualization_harbor-0.1.0-py3-none-any.whl |
Total release size: 7.3 kB
Release files / actualization_harbor-0.1.0.tar.gz
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| Size | 3.7 kB |
| Tags | Python 3 |
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