forked from phoenix-oss/llama-stack-mirror
# What does this PR do? Adds a `/alpha/` prefix to all the REST API urls. Also makes them all use hyphens instead of underscores as is more standard practice. (This is based on feedback from our partners.) ## Test Plan The Stack itself does not need updating. However, client SDKs and documentation will need to be updated.
53 lines
1.5 KiB
Python
53 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, List, Optional, Protocol
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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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from llama_models.llama3.api.datatypes import * # noqa: F403
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class FilteringFunction(Enum):
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"""The type of filtering function."""
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none = "none"
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random = "random"
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top_k = "top_k"
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top_p = "top_p"
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top_k_top_p = "top_k_top_p"
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sigmoid = "sigmoid"
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@json_schema_type
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class SyntheticDataGenerationRequest(BaseModel):
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"""Request to generate synthetic data. A small batch of prompts and a filtering function"""
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dialogs: List[Message]
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filtering_function: FilteringFunction = FilteringFunction.none
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model: Optional[str] = None
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@json_schema_type
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class SyntheticDataGenerationResponse(BaseModel):
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"""Response from the synthetic data generation. Batch of (prompt, response, score) tuples that pass the threshold."""
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synthetic_data: List[Dict[str, Any]]
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statistics: Optional[Dict[str, Any]] = None
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class SyntheticDataGeneration(Protocol):
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@webmethod(route="/synthetic-data-generation/generate")
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def synthetic_data_generate(
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self,
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dialogs: List[Message],
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filtering_function: FilteringFunction = FilteringFunction.none,
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model: Optional[str] = None,
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) -> Union[SyntheticDataGenerationResponse]: ...
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