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Resolved conflicts in: - benchmarking/k8s-benchmark/stack_run_config.yaml (accepted new storage schema) - llama_stack/providers/remote/inference/cerebras/cerebras.py (kept provider data support) - llama_stack/providers/remote/inference/cerebras/config.py (kept provider data support) - llama_stack/providers/remote/inference/nvidia/config.py (kept provider data support) - llama_stack/providers/remote/inference/runpod/config.py (merged imports) - pyproject.toml (kept databricks-sdk dependency)
39 lines
1.1 KiB
Python
39 lines
1.1 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 BaseModel, 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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class RunpodProviderDataValidator(BaseModel):
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runpod_api_token: str | None = Field(
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default=None,
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description="API token for RunPod models",
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)
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@json_schema_type
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class RunpodImplConfig(RemoteInferenceProviderConfig):
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url: str | None = Field(
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default=None,
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description="The URL for the Runpod 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 API token",
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)
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@classmethod
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def sample_run_config(cls, **kwargs: Any) -> dict[str, Any]:
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return {
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"url": "${env.RUNPOD_URL:=}",
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"api_token": "${env.RUNPOD_API_TOKEN}",
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}
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