llama-stack/llama_toolchain/memory/providers.py
Ashwin Bharambe 191cd28831
Simplified Telemetry API and tying it to logger (#57)
* Simplified Telemetry API and tying it to logger

* small update which adds a METRIC type

* move span events one level down into structured log events

---------

Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
2024-09-11 14:25:37 -07:00

43 lines
1.4 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_toolchain.core.datatypes import * # noqa: F403
EMBEDDING_DEPS = [
"blobfile",
"sentence-transformers",
]
def available_providers() -> List[ProviderSpec]:
return [
InlineProviderSpec(
api=Api.memory,
provider_type="meta-reference-faiss",
pip_packages=EMBEDDING_DEPS + ["faiss-cpu"],
module="llama_toolchain.memory.meta_reference.faiss",
config_class="llama_toolchain.memory.meta_reference.faiss.FaissImplConfig",
),
remote_provider_spec(
api=Api.memory,
adapter=AdapterSpec(
adapter_id="chromadb",
pip_packages=EMBEDDING_DEPS + ["chromadb-client"],
module="llama_toolchain.memory.adapters.chroma",
),
),
remote_provider_spec(
api=Api.memory,
adapter=AdapterSpec(
adapter_id="pgvector",
pip_packages=EMBEDDING_DEPS + ["psycopg2-binary"],
module="llama_toolchain.memory.adapters.pgvector",
config_class="llama_toolchain.memory.adapters.pgvector.PGVectorConfig",
),
),
]