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45 lines
1.6 KiB
Python
45 lines
1.6 KiB
Python
# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ========= Copyright 2025-2026 @ Eigent.ai All Rights Reserved. =========
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from typing import Annotated, Final
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from pydantic import BeforeValidator
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PLATFORM_ALIAS_MAPPING: Final[dict[str, str]] = {
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"z.ai": "zhipu",
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"ModelArk": "openai-compatible-model",
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"grok": "openai-compatible-model",
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"ernie": "qianfan",
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"llama.cpp": "openai-compatible-model",
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}
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def normalize_model_platform(platform: str) -> str:
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"""Normalize provider aliases to supported model platform names."""
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return PLATFORM_ALIAS_MAPPING.get(platform, platform)
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def normalize_optional_model_platform(platform: str | None) -> str | None:
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"""Optional variant of normalize_model_platform."""
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if platform is None:
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return None
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return normalize_model_platform(platform)
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NormalizedModelPlatform = Annotated[
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str, BeforeValidator(normalize_model_platform)
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]
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NormalizedOptionalModelPlatform = Annotated[
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str | None, BeforeValidator(normalize_optional_model_platform)
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]
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