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feat: introduce API leveling, post_training to v1alpha
Rather than have a single `LLAMA_STACK_VERSION`, we need to have a `_V1`, `_V1ALPHA`, and `_V1BETA` constant. This also necessitated addition of `level` to the `WebMethod` so that routing can be handeled properly. For backwards compat, the `v1` routes are being kept around and marked as `deprecated`. When used, the server will log a deprecation warning. move: post_training to v1alpha as it is under heavy development and not near its final state eval: job scheduling is not implemented. Relies heavily on the datasetio API which is under development missing implementations of specific routes indicating the structure of those routes might change. Additionally eval depends on the inference API which is going to be deprecated, eval will likely need a major API surface change to conform to using completions properly Signed-off-by: Charlie Doern <cdoern@redhat.com>
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35 changed files with 1507 additions and 260 deletions
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@ -8,6 +8,7 @@ from typing import Literal, Protocol, runtime_checkable
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from pydantic import BaseModel, Field
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from llama_stack.apis.version import LLAMA_STACK_API_V1
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from llama_stack.schema_utils import json_schema_type, webmethod
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try:
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@ -42,7 +43,7 @@ class Batches(Protocol):
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Note: This API is currently under active development and may undergo changes.
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"""
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@webmethod(route="/openai/v1/batches", method="POST")
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@webmethod(route="/openai/v1/batches", method="POST", level=LLAMA_STACK_API_V1)
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async def create_batch(
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self,
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input_file_id: str,
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@ -62,7 +63,7 @@ class Batches(Protocol):
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"""
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...
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@webmethod(route="/openai/v1/batches/{batch_id}", method="GET")
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@webmethod(route="/openai/v1/batches/{batch_id}", method="GET", level=LLAMA_STACK_API_V1)
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async def retrieve_batch(self, batch_id: str) -> BatchObject:
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"""Retrieve information about a specific batch.
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@ -71,7 +72,7 @@ class Batches(Protocol):
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"""
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...
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@webmethod(route="/openai/v1/batches/{batch_id}/cancel", method="POST")
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@webmethod(route="/openai/v1/batches/{batch_id}/cancel", method="POST", level=LLAMA_STACK_API_V1)
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async def cancel_batch(self, batch_id: str) -> BatchObject:
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"""Cancel a batch that is in progress.
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@ -80,7 +81,7 @@ class Batches(Protocol):
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"""
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...
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@webmethod(route="/openai/v1/batches", method="GET")
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@webmethod(route="/openai/v1/batches", method="GET", level=LLAMA_STACK_API_V1)
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async def list_batches(
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self,
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after: str | None = None,
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