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2a31163178
# What does this PR do? Automatically generates - build.yaml - run.yaml - run-with-safety.yaml - parts of markdown docs for the distributions. ## Test Plan At this point, this only updates the YAMLs and the docs. Some testing (especially with ollama and vllm) has been performed but needs to be much more tested.
38 lines
1,022 B
Python
38 lines
1,022 B
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 Optional
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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 VLLMInferenceAdapterConfig(BaseModel):
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url: Optional[str] = Field(
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default=None,
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description="The URL for the vLLM model serving endpoint",
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)
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max_tokens: int = Field(
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default=4096,
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description="Maximum number of tokens to generate.",
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)
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api_token: Optional[str] = Field(
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default="fake",
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description="The API token",
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)
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@classmethod
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def sample_run_config(
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cls,
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url: str = "${env.VLLM_URL}",
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**kwargs,
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):
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return {
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"url": url,
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"max_tokens": "${env.VLLM_MAX_TOKENS:4096}",
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"api_token": "${env.VLLM_API_TOKEN:fake}",
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}
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