llama-stack-mirror/llama_stack/providers/inline/inference/meta_reference
Charlie Doern 41431d8bdd refactor: convert providers to be installed via package
currently providers have a `pip_package` list. Rather than make our own form of python dependency management, we should use `pyproject.toml` files in each provider declaring the dependencies in a more trackable manner.
Each provider can then be installed using the already in place `module` field in the ProviderSpec, pointing to the directory the provider lives in
we can then simply `uv pip install` this directory as opposed to installing the dependencies one by one

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-09-22 09:23:50 -04:00
..
__init__.py chore: enable pyupgrade fixes (#1806) 2025-05-01 14:23:50 -07:00
common.py chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
config.py chore(api): add mypy coverage to meta_reference_config (#2664) 2025-07-09 10:24:30 +02:00
generators.py chore: enable pyupgrade fixes (#1806) 2025-05-01 14:23:50 -07:00
inference.py chore: indicate to mypy that InferenceProvider.rerank is concrete (#3238) 2025-08-22 12:02:13 -07:00
model_parallel.py chore: enable pyupgrade fixes (#1806) 2025-05-01 14:23:50 -07:00
parallel_utils.py chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061) 2025-08-20 07:15:35 -04:00
pyproject.toml refactor: convert providers to be installed via package 2025-09-22 09:23:50 -04:00