llama-stack-mirror/llama_stack/providers/inline/tool_runtime/rag
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: Updating Rag Tool to use Files API and Vector Stores API (#3344) 2025-09-06 07:26:34 -06:00
config.py chore: enable pyupgrade fixes (#1806) 2025-05-01 14:23:50 -07:00
context_retriever.py chore: Updating documentation, adding exception handling for Vector Stores in RAG Tool, more tests on migration, and migrate off of inference_api for context_retriever for RAG (#3367) 2025-09-11 14:20:11 +02:00
memory.py chore: Updating documentation, adding exception handling for Vector Stores in RAG Tool, more tests on migration, and migrate off of inference_api for context_retriever for RAG (#3367) 2025-09-11 14:20:11 +02:00
pyproject.toml refactor: convert providers to be installed via package 2025-09-22 09:23:50 -04:00