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35 lines
1 KiB
Python
35 lines
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 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_dict(cls):
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# TODO: we may need two modes, one for conda and one for docker
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return {
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"url": "${env.VLLM_URL:http://host.docker.internal:5100/v1}",
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"max_tokens": "${env.VLLM_MAX_TOKENS:4096}",
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"api_token": "${env.VLLM_API_TOKEN:fake}",
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}
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