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feat(api): level v1beta APIs

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level the following APIs as v1beta:

1. eval: job scheduling is not implemented. Relies heavily on the datasetio API which is under development/missing routes.
2. datasetio: used primarily by eval and training. Given that training is v1alpha, and eval is v1beta, datasetio is likely to change in structure as real usages of the API spin up. Register,unregister, and iter dataset is sparsely implemented meaning the shape of that route is likely to change.
3. telemetry: telemetry has been going through many changes. for example query_metrics was not even implemented until recently and had to change its shape to work. putting this in v1beta will allow us to fix functionality like OTEL, sqlite, etc. The routes themselves are set, but the structure might change a bit

Signed-off-by: Charlie Doern <cdoern@redhat.com>
This commit is contained in:
Charlie Doern 2025-09-17 12:43:13 -04:00
parent 8095602697
commit 871802f489
8 changed files with 61 additions and 56 deletions
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4
llama_stack/apis/datasetio/datasetio.py
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@ -20,7 +20,7 @@ class DatasetIO(Protocol):
# keeping for aligning with inference/safety, but this is not used
dataset_store: DatasetStore
@webmethod(route="/datasetio/iterrows/{dataset_id:path}", method="GET")
@webmethod(route="/datasetio/iterrows/{dataset_id:path}", method="GET", level="v1beta")
async def iterrows(
self,
dataset_id: str,
@ -44,7 +44,7 @@ class DatasetIO(Protocol):
"""
...
@webmethod(route="/datasetio/append-rows/{dataset_id:path}", method="POST")
@webmethod(route="/datasetio/append-rows/{dataset_id:path}", method="POST", level="v1beta")
async def append_rows(self, dataset_id: str, rows: list[dict[str, Any]]) -> None:
"""Append rows to a dataset.