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chore: Consistent naming for VectorIO providers (#1023)

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# What does this PR do?

This changes all VectorIO providers classes to follow the pattern
`<ProviderName>VectorIOConfig` and `<ProviderName>VectorIOAdapter`. All
API endpoints for VectorIOs are currently consistent with `/vector-io`.

Note that API endpoint for VectorDB stay unchanged as `/vector-dbs`. 

## Test Plan

I don't have a way to test all providers. This is a simple renaming so
things should work as expected.

---------

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
This commit is contained in:
Yuan Tang 2025-02-13 13:15:49 -05:00 • committed by GitHub
parent e4a1579e63
commit 8ff27b58fa
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34 changed files with 85 additions and 86 deletions
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4
llama_stack/templates/hf-serverless/hf_serverless.py
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@ -14,7 +14,7 @@ from llama_stack.distribution.datatypes import (
from llama_stack.providers.inline.inference.sentence_transformers import (
SentenceTransformersInferenceConfig,
)
from llama_stack.providers.inline.vector_io.faiss.config import FaissImplConfig
from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
from llama_stack.providers.remote.inference.tgi import InferenceAPIImplConfig
from llama_stack.templates.template import DistributionTemplate, RunConfigSettings
@ -52,7 +52,7 @@ def get_distribution_template() -> DistributionTemplate:
vector_io_provider = Provider(
provider_id="faiss",
provider_type="inline::faiss",
config=FaissImplConfig.sample_run_config(f"distributions/{name}"),
config=FaissVectorIOConfig.sample_run_config(f"distributions/{name}"),
)
inference_model = ModelInput(