llama-stack/llama_stack/providers/registry/agents.py
Ashwin Bharambe 78a481bb22
[memory refactor][2/n] Update faiss and make it pass tests (#830)
See https://github.com/meta-llama/llama-stack/issues/827 for the broader
design.

Second part:

- updates routing table / router code 
- updates the faiss implementation


## Test Plan

```
pytest -s -v -k sentence test_vector_io.py --env EMBEDDING_DIMENSION=384
```
2025-01-22 10:02:15 -08:00

51 lines
1.5 KiB
Python

# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from typing import List
from llama_stack.providers.datatypes import (
AdapterSpec,
Api,
InlineProviderSpec,
ProviderSpec,
remote_provider_spec,
)
from llama_stack.providers.utils.kvstore import kvstore_dependencies
def available_providers() -> List[ProviderSpec]:
return [
InlineProviderSpec(
api=Api.agents,
provider_type="inline::meta-reference",
pip_packages=[
"matplotlib",
"pillow",
"pandas",
"scikit-learn",
]
+ kvstore_dependencies(),
module="llama_stack.providers.inline.agents.meta_reference",
config_class="llama_stack.providers.inline.agents.meta_reference.MetaReferenceAgentsImplConfig",
api_dependencies=[
Api.inference,
Api.safety,
Api.vector_io,
Api.vector_dbs,
Api.tool_runtime,
Api.tool_groups,
],
),
remote_provider_spec(
api=Api.agents,
adapter=AdapterSpec(
adapter_type="sample",
pip_packages=[],
module="llama_stack.providers.remote.agents.sample",
config_class="llama_stack.providers.remote.agents.sample.SampleConfig",
),
),
]