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Async LLM backend abstraction with Retry-After aware clients.

Project description

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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