Cage (llm-cage)
Status: placeholder release — reserving the name while the project is designed. Not yet functional.
Cage runs a local-LLM component of your application inside a separate OS process with network access denied by default (loopback allowed, for talking to a local model server), while keeping local hardware acceleration (GPU/Metal/CUDA) intact and giving you a friction-free way to call into it from the rest of your app:
from cage import Cell
cell = Cell()
@cell.expose
def ask_local_llm(prompt: str) -> str:
import ollama
return ollama.chat(model="llama3", messages=[{"role": "user", "content": prompt}])["message"]["content"]
answer = ask_local_llm("what's 2+2?") # runs inside the network-restricted process
Design details are being worked out as a public RFC series before implementation starts. This release exists solely to reserve the package name.
1 maintainer
Metadata
1 maintainer
Release files for llm-cage 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| llm_cage-0.0.1.tar.gz | 2.9 kB | Without provenance | Details for llm_cage-0.0.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llm_cage-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for llm_cage-0.0.1-py3-none-any.whl |
Total release size: 5.9 kB
Release files / llm_cage-0.0.1.tar.gz
| Download URL | llm_cage-0.0.1.tar.gz |
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Release files / llm_cage-0.0.1-py3-none-any.whl
| Download URL | llm_cage-0.0.1-py3-none-any.whl |
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| Size | 3.0 kB |
| Tags | Python 3 |
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