address feedback

This commit is contained in:
Dinesh Yeduguru 2024-11-08 16:45:41 -08:00
parent c82f13bf9e
commit bd43d37f4e
4 changed files with 99 additions and 76 deletions

View file

@ -5,7 +5,7 @@
# the root directory of this source tree.
from enum import Enum
from typing import List, Literal, Optional, Protocol, runtime_checkable, Union
from typing import List, Literal, Optional, Protocol, runtime_checkable
from llama_models.schema_utils import json_schema_type, webmethod
@ -56,76 +56,16 @@ class GraphMemoryBank(MemoryBank):
@json_schema_type
class BaseRegistration(BaseModel):
memory_bank_id: str
provider_resource_id: Optional[str] = None
provider_id: Optional[str] = None
@json_schema_type
class VectorRegistration(BaseRegistration):
class VectorMemoryBankParams(BaseModel):
type: Literal[MemoryBankType.vector.value] = MemoryBankType.vector.value
embedding_model: str
chunk_size_in_tokens: int
overlap_size_in_tokens: Optional[int] = None
@json_schema_type
class KeyValueRegistration(BaseRegistration):
pass
@json_schema_type
class KeywordRegistration(BaseRegistration):
pass
@json_schema_type
class GraphRegistration(BaseRegistration):
pass
RegistrationRequest = Union[
VectorRegistration,
KeyValueRegistration,
KeywordRegistration,
GraphRegistration,
]
def registration_request_to_memory_bank(request: RegistrationRequest) -> MemoryBank:
"""Convert registration request to memory bank object"""
if isinstance(request, VectorRegistration):
return VectorMemoryBank(
identifier=request.memory_bank_id,
provider_resource_id=request.provider_resource_id,
provider_id=request.provider_id,
embedding_model=request.embedding_model,
chunk_size_in_tokens=request.chunk_size_in_tokens,
overlap_size_in_tokens=request.overlap_size_in_tokens,
)
elif isinstance(request, KeyValueRegistration):
return KeyValueMemoryBank(
identifier=request.memory_bank_id,
provider_resource_id=request.provider_resource_id,
provider_id=request.provider_id,
memory_bank_type=MemoryBankType.keyvalue,
)
elif isinstance(request, KeywordRegistration):
return KeywordMemoryBank(
identifier=request.memory_bank_id,
provider_resource_id=request.provider_resource_id,
provider_id=request.provider_id,
memory_bank_type=MemoryBankType.keyword,
)
elif isinstance(request, GraphRegistration):
return GraphMemoryBank(
identifier=request.memory_bank_id,
provider_resource_id=request.provider_resource_id,
provider_id=request.provider_id,
memory_bank_type=MemoryBankType.graph,
)
else:
raise ValueError(f"Unknown registration type: {type(request)}")
BankParams = VectorMemoryBankParams # For now, since we only have one type of params
# If you need to add more types later, you can do:
# BankParams = Union[VectorMemoryBankParams, KeyValueMemoryBankParams, KeywordMemoryBankParams, GraphMemoryBankParams]
@runtime_checkable
@ -138,5 +78,10 @@ class MemoryBanks(Protocol):
@webmethod(route="/memory_banks/register", method="POST")
async def register_memory_bank(
self, request: RegistrationRequest
self,
memory_bank_id: str,
memory_bank_type: MemoryBankType,
provider_id: Optional[str] = None,
provider_memorybank_id: Optional[str] = None,
params: Optional[BankParams] = None,
) -> MemoryBank: ...

View file

@ -7,8 +7,8 @@
from typing import Any, AsyncGenerator, Dict, List, Optional
from llama_stack.apis.datasetio.datasetio import DatasetIO
from llama_stack.apis.memory_banks.memory_banks import BankParams, MemoryBankType
from llama_stack.distribution.datatypes import RoutingTable
from llama_stack.apis.memory import * # noqa: F403
from llama_stack.apis.inference import * # noqa: F403
from llama_stack.apis.safety import * # noqa: F403
@ -34,9 +34,19 @@ class MemoryRouter(Memory):
async def register_memory_bank(
self,
request: RegistrationRequest,
memory_bank_id: str,
memory_bank_type: MemoryBankType,
provider_id: Optional[str] = None,
provider_memorybank_id: Optional[str] = None,
params: Optional[BankParams] = None,
) -> None:
await self.routing_table.register_memory_bank(request)
await self.routing_table.register_memory_bank(
memory_bank_id,
memory_bank_type,
provider_id,
provider_memorybank_id,
params,
)
async def insert_documents(
self,

View file

@ -17,6 +17,7 @@ from llama_stack.apis.eval_tasks import * # noqa: F403
from llama_stack.distribution.store import DistributionRegistry
from llama_stack.distribution.datatypes import * # noqa: F403
from llama_stack.distribution.utils.memory_bank_utils import build_memory_bank
def get_impl_api(p: Any) -> Api:
@ -272,19 +273,24 @@ class MemoryBanksRoutingTable(CommonRoutingTableImpl, MemoryBanks):
async def register_memory_bank(
self,
request: RegistrationRequest,
memory_bank_id: str,
provider_id: str,
provider_memorybank_id: str,
params: BankParams,
) -> MemoryBank:
if request.provider_resource_id is None:
request.provider_resource_id = request.memory_bank_id
if request.provider_id is None:
if provider_memorybank_id is None:
provider_memorybank_id = memory_bank_id
if provider_id is None:
# If provider_id not specified, use the only provider if it supports this shield type
if len(self.impls_by_provider_id) == 1:
request.provider_id = list(self.impls_by_provider_id.keys())[0]
provider_id = list(self.impls_by_provider_id.keys())[0]
else:
raise ValueError(
"No provider specified and multiple providers available. Please specify a provider_id."
)
memory_bank = registration_request_to_memory_bank(request)
memory_bank = build_memory_bank(
memory_bank_id, params.type, provider_id, provider_memorybank_id, params
)
await self.register_object(memory_bank)
return memory_bank

View file

@ -0,0 +1,62 @@
# 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