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0066d986c5
# What does this PR do? use SecretStr for OpenAIMixin providers - RemoteInferenceProviderConfig now has auth_credential: SecretStr - the default alias is api_key (most common name) - some providers override to use api_token (RunPod, vLLM, Databricks) - some providers exclude it (Ollama, TGI, Vertex AI) addresses #3517 ## Test Plan ci w/ new tests
37 lines
1 KiB
Python
37 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 Any
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from pydantic import Field, SecretStr
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from llama_stack.providers.utils.inference.model_registry import RemoteInferenceProviderConfig
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from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class DatabricksImplConfig(RemoteInferenceProviderConfig):
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url: str | None = Field(
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default=None,
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description="The URL for the Databricks model serving endpoint",
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)
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auth_credential: SecretStr | None = Field(
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default=None,
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alias="api_token",
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description="The Databricks 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 = "${env.DATABRICKS_HOST:=}",
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api_token: str = "${env.DATABRICKS_TOKEN:=}",
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**kwargs: Any,
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) -> dict[str, Any]:
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return {
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"url": url,
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"api_token": api_token,
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}
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