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https://github.com/meta-llama/llama-stack.git
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314ee09ae3
llama-models should have extremely minimal cruft. Its sole purpose should be didactic -- show the simplest implementation of the llama models and document the prompt formats, etc. This PR is the complement to https://github.com/meta-llama/llama-models/pull/279 ## Test Plan Ensure all `llama` CLI `model` sub-commands work: ```bash llama model list llama model download --model-id ... llama model prompt-format -m ... ``` Ran tests: ```bash cd tests/client-sdk LLAMA_STACK_CONFIG=fireworks pytest -s -v inference/ LLAMA_STACK_CONFIG=fireworks pytest -s -v vector_io/ LLAMA_STACK_CONFIG=fireworks pytest -s -v agents/ ``` Create a fresh venv `uv venv && source .venv/bin/activate` and run `llama stack build --template fireworks --image-type venv` followed by `llama stack run together --image-type venv` <-- the server runs Also checked that the OpenAPI generator can run and there is no change in the generated files as a result. ```bash cd docs/openapi_generator sh run_openapi_generator.sh ```
74 lines
2.1 KiB
Python
74 lines
2.1 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 typing import Any, Dict, List, Literal, Optional, Protocol
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from pydantic import BaseModel, Field
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from llama_stack.apis.common.content_types import URL
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from llama_stack.apis.common.type_system import ParamType
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from llama_stack.apis.resource import Resource, ResourceType
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from llama_stack.schema_utils import json_schema_type, webmethod
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class CommonDatasetFields(BaseModel):
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dataset_schema: Dict[str, ParamType]
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url: URL
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metadata: Dict[str, Any] = Field(
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default_factory=dict,
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description="Any additional metadata for this dataset",
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)
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@json_schema_type
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class Dataset(CommonDatasetFields, Resource):
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type: Literal[ResourceType.dataset.value] = ResourceType.dataset.value
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@property
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def dataset_id(self) -> str:
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return self.identifier
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@property
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def provider_dataset_id(self) -> str:
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return self.provider_resource_id
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class DatasetInput(CommonDatasetFields, BaseModel):
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dataset_id: str
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provider_id: Optional[str] = None
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provider_dataset_id: Optional[str] = None
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class ListDatasetsResponse(BaseModel):
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data: List[Dataset]
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class Datasets(Protocol):
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@webmethod(route="/datasets", method="POST")
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async def register_dataset(
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self,
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dataset_id: str,
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dataset_schema: Dict[str, ParamType],
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url: URL,
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provider_dataset_id: Optional[str] = None,
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provider_id: Optional[str] = None,
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metadata: Optional[Dict[str, Any]] = None,
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) -> None: ...
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@webmethod(route="/datasets/{dataset_id:path}", method="GET")
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async def get_dataset(
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self,
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dataset_id: str,
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) -> Optional[Dataset]: ...
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@webmethod(route="/datasets", method="GET")
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async def list_datasets(self) -> ListDatasetsResponse: ...
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@webmethod(route="/datasets/{dataset_id:path}", method="DELETE")
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async def unregister_dataset(
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self,
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dataset_id: str,
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) -> None: ...
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