forked from phoenix-oss/llama-stack-mirror
314ee09ae3
llama-models should have extremely minimal cruft. Its sole purpose should be didactic -- show the simplest implementation of the llama models and document the prompt formats, etc. This PR is the complement to https://github.com/meta-llama/llama-models/pull/279 ## Test Plan Ensure all `llama` CLI `model` sub-commands work: ```bash llama model list llama model download --model-id ... llama model prompt-format -m ... ``` Ran tests: ```bash cd tests/client-sdk LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/ LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/ LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/ ``` Create a fresh venv `uv venv && source .venv/bin/activate` and run `llama stack build --template fireworks --image-type venv` followed by `llama stack run together --image-type venv` <-- the server runs Also checked that the OpenAPI generator can run and there is no change in the generated files as a result. ```bash cd docs/openapi_generator sh run_openapi_generator.sh ```
29 lines
786 B
Python
29 lines
786 B
Python
# 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 Any, Dict
|
|
|
|
from pydantic import BaseModel
|
|
|
|
from llama_stack.providers.utils.kvstore.config import (
|
|
KVStoreConfig,
|
|
SqliteKVStoreConfig,
|
|
)
|
|
from llama_stack.schema_utils import json_schema_type
|
|
|
|
|
|
@json_schema_type
|
|
class FaissVectorIOConfig(BaseModel):
|
|
kvstore: KVStoreConfig
|
|
|
|
@classmethod
|
|
def sample_run_config(cls, __distro_dir__: str) -> Dict[str, Any]:
|
|
return {
|
|
"kvstore": SqliteKVStoreConfig.sample_run_config(
|
|
__distro_dir__=__distro_dir__,
|
|
db_name="faiss_store.db",
|
|
)
|
|
}
|