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[memory refactor][5/n] Migrate all vector_io providers (#835)

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See https://github.com/meta-llama/llama-stack/issues/827 for the broader
design.

This PR finishes off all the stragglers and migrates everything to the
new naming.
This commit is contained in:
Ashwin Bharambe 2025-01-22 10:17:59 -08:00 • committed by GitHub
parent 63f37f9b7c
commit c9e5578151
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GPG key ID: B5690EEEBB952194
78 changed files with 504 additions and 623 deletions
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8
llama_stack/templates/cerebras/cerebras.py
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@ -13,7 +13,7 @@ from llama_stack.distribution.datatypes import ModelInput, Provider, ToolGroupIn
from llama_stack.providers.inline.inference.sentence_transformers import (
SentenceTransformersInferenceConfig,
)
from llama_stack.providers.inline.memory.faiss.config import FaissImplConfig
from llama_stack.providers.inline.vector_io.faiss.config import FaissImplConfig
from llama_stack.providers.remote.inference.cerebras import CerebrasImplConfig
from llama_stack.providers.remote.inference.cerebras.cerebras import model_aliases
from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
@ -23,7 +23,7 @@ def get_distribution_template() -> DistributionTemplate:
providers = {
"inference": ["remote::cerebras"],
"safety": ["inline::llama-guard"],
"memory": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
"vector_io": ["inline::faiss", "remote::chromadb", "remote::pgvector"],
"agents": ["inline::meta-reference"],
"eval": ["inline::meta-reference"],
"datasetio": ["remote::huggingface", "inline::localfs"],
@ -68,7 +68,7 @@ def get_distribution_template() -> DistributionTemplate:
"embedding_dimension": 384,
},
)
memory_provider = Provider(
vector_io_provider = Provider(
provider_id="faiss",
provider_type="inline::faiss",
config=FaissImplConfig.sample_run_config(f"distributions/{name}"),
@ -100,7 +100,7 @@ def get_distribution_template() -> DistributionTemplate:
"run.yaml": RunConfigSettings(
provider_overrides={
"inference": [inference_provider, embedding_provider],
"memory": [memory_provider],
"vector_io": [vector_io_provider],
},
default_models=default_models + [embedding_model],
default_shields=[],