forked from phoenix-oss/llama-stack-mirror
58381dbe78
# What does this PR do? - add local persistence for eval tasks - follow https://github.com/meta-llama/llama-stack/pull/375 ## Test Plan 1. fresh llama stack run 2. kill server 3. restart server: llama stack run <img width="690" alt="image" src="https://github.com/user-attachments/assets/3d76e477-b91a-43a6-86ea-8e3ef2d04ed3"> Using run.yaml ```yaml eval_tasks: - eval_task_id: meta-reference-mmlu provider_id: meta-reference-0 dataset_id: mmlu scoring_functions: - basic::regex_parser_multiple_choice_answer ``` ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Ran pre-commit to handle lint / formatting issues. - [ ] Read the [contributor guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md), Pull Request section? - [ ] Updated relevant documentation. - [ ] Wrote necessary unit or integration tests.
17 lines
641 B
Python
17 lines
641 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from llama_stack.distribution.utils.config_dirs import RUNTIME_BASE_DIR
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from llama_stack.providers.utils.kvstore.config import (
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KVStoreConfig,
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SqliteKVStoreConfig,
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)
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from pydantic import BaseModel
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class MetaReferenceEvalConfig(BaseModel):
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kvstore: KVStoreConfig = SqliteKVStoreConfig(
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db_path=(RUNTIME_BASE_DIR / "meta_reference_eval.db").as_posix()
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) # Uses SQLite config specific to Meta Reference Eval storage
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