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chore: Updating documentation and adding exception handling for Vector Stores in RAG Tool and updating inference to use openai and updating memory implementation to use existing libraries

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Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Javier Arceo 2025-09-07 13:52:39 -04:00
parent 28696c3f30
commit ff0bd414b1
27 changed files with 926 additions and 403 deletions
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7
llama_stack/cli/stack/_build.py
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@ -45,6 +45,7 @@ from llama_stack.core.utils.dynamic import instantiate_class_type
from llama_stack.core.utils.exec import formulate_run_args, run_command
from llama_stack.core.utils.image_types import LlamaStackImageType
from llama_stack.providers.datatypes import Api
from llama_stack.providers.utils.sqlstore.sqlstore import SqliteSqlStoreConfig
DISTRIBS_PATH = Path(__file__).parent.parent.parent / "distributions"
@ -294,6 +295,12 @@ def _generate_run_config(
if build_config.external_providers_dir
else EXTERNAL_PROVIDERS_DIR,
)
if not run_config.inference_store:
run_config.inference_store = SqliteSqlStoreConfig(
**SqliteSqlStoreConfig.sample_run_config(
__distro_dir__=(DISTRIBS_BASE_DIR / image_name).as_posix(), db_name="inference_store.db"
)
)
# build providers dict
provider_registry = get_provider_registry(build_config)
for api in apis: