feat: reference implementation for files API (#2330)
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# What does this PR do?
TSIA
Added Files provider to the fireworks template. Might want to add to all
templates as a follow-up.

## Test Plan
llama-stack pytest tests/unit/files/test_files.py

llama-stack llama stack build --template fireworks --image-type conda
--run
LLAMA_STACK_CONFIG=http://localhost:8321 pytest -s -v
tests/integration/files/
This commit is contained in:
ehhuang 2025-06-02 21:54:24 -07:00 committed by GitHub
parent ba25c5e7e1
commit 3c9a10d2fe
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18 changed files with 3041 additions and 2315 deletions

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@ -13,6 +13,7 @@ from llama_stack.distribution.datatypes import (
ShieldInput,
ToolGroupInput,
)
from llama_stack.providers.inline.files.localfs.config import LocalfsFilesImplConfig
from llama_stack.providers.inline.inference.sentence_transformers import (
SentenceTransformersInferenceConfig,
)
@ -36,6 +37,7 @@ def get_distribution_template() -> DistributionTemplate:
"eval": ["inline::meta-reference"],
"datasetio": ["remote::huggingface", "inline::localfs"],
"scoring": ["inline::basic", "inline::llm-as-judge", "inline::braintrust"],
"files": ["inline::localfs"],
"tool_runtime": [
"remote::brave-search",
"remote::tavily-search",
@ -62,6 +64,11 @@ def get_distribution_template() -> DistributionTemplate:
provider_type="inline::faiss",
config=FaissVectorIOConfig.sample_run_config(f"~/.llama/distributions/{name}"),
)
files_provider = Provider(
provider_id="meta-reference-files",
provider_type="inline::localfs",
config=LocalfsFilesImplConfig.sample_run_config(f"~/.llama/distributions/{name}"),
)
available_models = {
"fireworks": MODEL_ENTRIES,
@ -104,6 +111,7 @@ def get_distribution_template() -> DistributionTemplate:
provider_overrides={
"inference": [inference_provider, embedding_provider],
"vector_io": [vector_io_provider],
"files": [files_provider],
},
default_models=default_models + [embedding_model],
default_shields=[ShieldInput(shield_id="meta-llama/Llama-Guard-3-8B")],
@ -116,6 +124,7 @@ def get_distribution_template() -> DistributionTemplate:
embedding_provider,
],
"vector_io": [vector_io_provider],
"files": [files_provider],
"safety": [
Provider(
provider_id="llama-guard",