llama-stack-mirror/llama_stack/distribution/utils/memory_bank_utils.py
2024-11-11 14:49:08 -08:00

62 lines
2.1 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 Optional
from llama_stack.apis.memory_banks.memory_banks import (
BankParams,
GraphMemoryBank,
KeyValueMemoryBank,
KeywordMemoryBank,
MemoryBank,
MemoryBankType,
VectorMemoryBank,
VectorMemoryBankParams,
)
def build_memory_bank(
memory_bank_id: str,
memory_bank_type: MemoryBankType,
provider_id: str,
provider_memorybank_id: str,
params: Optional[BankParams] = None,
) -> MemoryBank:
if memory_bank_type == MemoryBankType.vector:
assert isinstance(params, VectorMemoryBankParams)
memory_bank = VectorMemoryBank(
identifier=memory_bank_id,
provider_id=provider_id,
provider_resource_id=provider_memorybank_id,
memory_bank_type=memory_bank_type,
embedding_model=params.embedding_model,
chunk_size_in_tokens=params.chunk_size_in_tokens,
overlap_size_in_tokens=params.overlap_size_in_tokens,
)
elif memory_bank_type == MemoryBankType.keyvalue:
memory_bank = KeyValueMemoryBank(
identifier=memory_bank_id,
provider_id=provider_id,
provider_resource_id=provider_memorybank_id,
memory_bank_type=memory_bank_type,
)
elif memory_bank_type == MemoryBankType.keyword:
memory_bank = KeywordMemoryBank(
identifier=memory_bank_id,
provider_id=provider_id,
provider_resource_id=provider_memorybank_id,
memory_bank_type=memory_bank_type,
)
elif memory_bank_type == MemoryBankType.graph:
memory_bank = GraphMemoryBank(
identifier=memory_bank_id,
provider_id=provider_id,
provider_resource_id=provider_memorybank_id,
memory_bank_type=memory_bank_type,
)
else:
raise ValueError(f"Unknown memory bank type: {memory_bank_type}")
return memory_bank