forked from phoenix-oss/llama-stack-mirror
5712566061
* [1/n] migrate inference/chat_completion * migrate inference/completion * inference/completion * inference regenerate openapi spec * safety api * migrate agentic system * migrate apis without implementations * re-generate openapi spec * remove hack from openapi generator * fix inference * fix inference * openapi generator rerun * Simplified Telemetry API and tying it to logger (#57) * Simplified Telemetry API and tying it to logger * small update which adds a METRIC type * move span events one level down into structured log events --------- Co-authored-by: Ashwin Bharambe <ashwin@meta.com> * fix api to work with openapi generator * fix agentic calling inference * together adapter inference * update inference adapters --------- Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com> Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
63 lines
1.5 KiB
Python
63 lines
1.5 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 typing import Any, Dict, Optional, Protocol
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from llama_models.llama3.api.datatypes import URL
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from llama_models.schema_utils import json_schema_type, webmethod
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from pydantic import BaseModel
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@json_schema_type
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class TrainEvalDatasetColumnType(Enum):
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dialog = "dialog"
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text = "text"
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media = "media"
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number = "number"
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json = "json"
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@json_schema_type
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class TrainEvalDataset(BaseModel):
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"""Dataset to be used for training or evaluating language models."""
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# TODO(ashwin): figure out if we need to add an enum for a "dataset type"
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columns: Dict[str, TrainEvalDatasetColumnType]
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content_url: URL
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metadata: Optional[Dict[str, Any]] = None
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@json_schema_type
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class CreateDatasetRequest(BaseModel):
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"""Request to create a dataset."""
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uuid: str
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dataset: TrainEvalDataset
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class Datasets(Protocol):
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@webmethod(route="/datasets/create")
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def create_dataset(
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self,
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uuid: str,
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dataset: TrainEvalDataset,
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) -> None: ...
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@webmethod(route="/datasets/get")
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def get_dataset(
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self,
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dataset_uuid: str,
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) -> TrainEvalDataset: ...
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@webmethod(route="/datasets/delete")
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def delete_dataset(
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self,
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dataset_uuid: str,
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) -> None: ...
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