llama-stack-mirror/llama_stack/apis/resource.py
Ihar Hrachyshka 90799cdcee feat: add /jobs API
This API will be later tied to jobs as defined for specific flows
(post-training, eval, etc.) through the common scheduler mechanism.

Note: At the moment, API does nothing useful. (Except returning Not
Implemented errors when called.)

This is an alternative to developing per-flow jobs APIs. Eventually,
once /jobs API is implemented, we should be able to deprecate existing
APIs under /v1/post-training/, /v1/eval/ etc.

See #1587 (tracker)
See #1238 (design details)

Note: This is an alternative path to #1582 and #1583.

Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
2025-03-12 17:04:43 -04:00

36 lines
1 KiB
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 enum import Enum
from pydantic import BaseModel, Field
class ResourceType(Enum):
model = "model"
job = "job"
shield = "shield"
vector_db = "vector_db"
dataset = "dataset"
scoring_function = "scoring_function"
benchmark = "benchmark"
tool = "tool"
tool_group = "tool_group"
class Resource(BaseModel):
"""Base class for all Llama Stack resources"""
identifier: str = Field(description="Unique identifier for this resource in llama stack")
provider_resource_id: str = Field(
description="Unique identifier for this resource in the provider",
default=None,
)
provider_id: str = Field(description="ID of the provider that owns this resource")
type: ResourceType = Field(description="Type of resource (e.g. 'model', 'shield', 'vector_db', etc.)")