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78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
# Copyright (c) 2026 PaddlePaddle Authors. All Rights Reserved.
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#
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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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#
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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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from __future__ import annotations
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from typing import Optional
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from .providers import InferenceProvider, normalize_provider
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DEFAULT_MODEL = "PP-OCRv6"
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QIANFAN_SUPPORTED_MODELS = frozenset(
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{
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"PP-StructureV3",
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"PaddleOCR-VL",
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}
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)
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SUPPORTED_MODELS = frozenset(
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{
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"PP-OCRv5",
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"PP-OCRv5-latin",
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"PP-OCRv6",
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"PP-StructureV3",
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"PaddleOCR-VL",
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"PaddleOCR-VL-1.5",
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"PaddleOCR-VL-1.6",
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}
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)
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_MODEL_TOOLS: dict[str, str] = {
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"PP-OCRv5": "ocr",
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"PP-OCRv5-latin": "ocr",
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"PP-OCRv6": "ocr",
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"PP-StructureV3": "pp_structurev3",
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"PaddleOCR-VL": "paddleocr_vl",
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"PaddleOCR-VL-1.5": "paddleocr_vl",
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"PaddleOCR-VL-1.6": "paddleocr_vl",
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}
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def tool_for_model(model: str) -> str:
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"""Return the MCP tool name for a validated model."""
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return _MODEL_TOOLS[model]
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def resolve_model(model: Optional[str], provider: str) -> str:
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"""Validate and normalize the user-facing model name."""
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normalized = (model or DEFAULT_MODEL).strip()
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normalized_provider = normalize_provider(provider)
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if normalized not in SUPPORTED_MODELS:
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supported = ", ".join(sorted(SUPPORTED_MODELS))
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raise ValueError(
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f"Unsupported model: {normalized!r}. Supported models: {supported}."
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)
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if (
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normalized_provider is InferenceProvider.QIANFAN
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and normalized not in QIANFAN_SUPPORTED_MODELS
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):
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supported = ", ".join(sorted(QIANFAN_SUPPORTED_MODELS))
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raise ValueError(
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f"Model {normalized!r} is not supported with qianfan source. "
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f"Supported models: {supported}."
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)
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return normalized
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