llama-stack-mirror/llama_stack/providers/remote/inference/azure
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 feat: add Azure OpenAI inference provider support (#3396) 2025-09-11 13:48:38 +02:00
azure.py feat: add Azure OpenAI inference provider support (#3396) 2025-09-11 13:48:38 +02:00
config.py feat: add Azure OpenAI inference provider support (#3396) 2025-09-11 13:48:38 +02:00
models.py feat: add Azure OpenAI inference provider support (#3396) 2025-09-11 13:48:38 +02:00
pyproject.toml refactor: convert providers to be installed via package 2025-09-22 09:23:50 -04:00