forked from phoenix-oss/llama-stack-mirror
3ae8585b65
See https://github.com/meta-llama/llama-stack/issues/827 for the broader design. This is the first part: - delete other kinds of memory banks (keyvalue, keyword, graph) for now; we will introduce a keyvalue store API as part of this design but not use it in the RAG tool yet. - renaming of the APIs
41 lines
1.1 KiB
Python
41 lines
1.1 KiB
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 enum import Enum
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from llama_models.schema_utils import json_schema_type
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from pydantic import BaseModel, Field
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@json_schema_type
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class ResourceType(Enum):
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model = "model"
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shield = "shield"
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vector_db = "vector_db"
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dataset = "dataset"
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scoring_function = "scoring_function"
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eval_task = "eval_task"
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tool = "tool"
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tool_group = "tool_group"
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class Resource(BaseModel):
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"""Base class for all Llama Stack resources"""
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identifier: str = Field(
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description="Unique identifier for this resource in llama stack"
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)
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provider_resource_id: str = Field(
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description="Unique identifier for this resource in the provider",
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default=None,
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)
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provider_id: str = Field(description="ID of the provider that owns this resource")
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type: ResourceType = Field(
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description="Type of resource (e.g. 'model', 'shield', 'memory_bank', etc.)"
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)
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