phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-12-18 12:49:47 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

Memory tests pass now

Browse source
This commit is contained in:
Ashwin Bharambe 2024-12-15 20:55:06 -08:00
parent e51154964f
commit 59ce047aea
23 changed files with 122 additions and 81 deletions
Download patch file Download diff file Expand all files Collapse all files

5
llama_stack/providers/remote/memory/chroma/chroma.py
View file

@ -6,13 +6,14 @@
import asyncio
import json
import logging
from typing import List
from typing import List, Optional, Union
from urllib.parse import urlparse
import chromadb
from numpy.typing import NDArray
from llama_stack.apis.memory import * # noqa: F403
from llama_stack.apis.memory_banks import MemoryBankType
from llama_stack.providers.datatypes import Api, MemoryBanksProtocolPrivate
from llama_stack.providers.inline.memory.chroma import ChromaInlineImplConfig
from llama_stack.providers.utils.memory.vector_store import (
@ -151,7 +152,7 @@ class ChromaMemoryAdapter(Memory, MemoryBanksProtocolPrivate):
async def query_documents(
self,
bank_id: str,
query: InterleavedTextMedia,
query: InterleavedContent,
params: Optional[Dict[str, Any]] = None,
) -> QueryDocumentsResponse:
index = await self._get_and_cache_bank_index(bank_id)

4
llama_stack/providers/remote/memory/pgvector/pgvector.py
View file

@ -15,7 +15,7 @@ from psycopg2.extras import execute_values, Json
from pydantic import BaseModel, parse_obj_as
from llama_stack.apis.memory import * # noqa: F403
from llama_stack.apis.memory_banks import MemoryBankType, VectorMemoryBank
from llama_stack.providers.datatypes import Api, MemoryBanksProtocolPrivate
from llama_stack.providers.utils.memory.vector_store import (
@ -188,7 +188,7 @@ class PGVectorMemoryAdapter(Memory, MemoryBanksProtocolPrivate):
async def query_documents(
self,
bank_id: str,
query: InterleavedTextMedia,
query: InterleavedContent,
params: Optional[Dict[str, Any]] = None,
) -> QueryDocumentsResponse:
index = await self._get_and_cache_bank_index(bank_id)

5
llama_stack/providers/remote/memory/qdrant/qdrant.py
View file

@ -13,8 +13,7 @@ from qdrant_client import AsyncQdrantClient, models
from qdrant_client.models import PointStruct
from llama_stack.apis.memory_banks import * # noqa: F403
from llama_stack.providers.datatypes import MemoryBanksProtocolPrivate
from llama_stack.providers.datatypes import Api, MemoryBanksProtocolPrivate
from llama_stack.apis.memory import * # noqa: F403
from llama_stack.providers.remote.memory.qdrant.config import QdrantConfig
@ -160,7 +159,7 @@ class QdrantVectorMemoryAdapter(Memory, MemoryBanksProtocolPrivate):
async def query_documents(
self,
bank_id: str,
query: InterleavedTextMedia,
query: InterleavedContent,
params: Optional[Dict[str, Any]] = None,
) -> QueryDocumentsResponse:
index = await self._get_and_cache_bank_index(bank_id)

3
llama_stack/providers/remote/memory/weaviate/weaviate.py
View file

@ -15,6 +15,7 @@ from weaviate.classes.init import Auth
from weaviate.classes.query import Filter
from llama_stack.apis.memory import * # noqa: F403
from llama_stack.apis.memory_banks import MemoryBankType
from llama_stack.distribution.request_headers import NeedsRequestProviderData
from llama_stack.providers.datatypes import Api, MemoryBanksProtocolPrivate
from llama_stack.providers.utils.memory.vector_store import (
@ -186,7 +187,7 @@ class WeaviateMemoryAdapter(
async def query_documents(
self,
bank_id: str,
query: InterleavedTextMedia,
query: InterleavedContent,
params: Optional[Dict[str, Any]] = None,
) -> QueryDocumentsResponse:
index = await self._get_and_cache_bank_index(bank_id)