llm-abstraction
Async LLM backend abstraction with shared Retry-After handling.
Only Mistral chat completions are implemented right now, but the package is structured around a generic async backend interface.
from llm_abstraction import MistralBackend
backend = MistralBackend(api_key="...")
response = await backend.chat(
[
{"role": "user", "content": "Hello"},
],
)
print(response.content)
embeddings = await backend.embed(["Hello"])
print(embeddings.embeddings[0])
Build
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
pytest
ruff check .
mypy
pyright
python -m build
twine check dist/*
Publish
TestPyPI:
twine upload --repository testpypi dist/*
PyPI:
twine upload dist/*
After publishing, downstream projects can depend on:
llm-abstraction>=0.1.0
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