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* llguidance * add requirements_guided_decoding.txt and doc * fix test_guidance_*.py * fix test_guidance_*.py && mv * fix llguidance choice * test_guidance_* * rm lazy loader --------- Co-authored-by: YuBaoku <49938469+EmmonsCurse@users.noreply.github.com>
97 lines
3.1 KiB
Python
97 lines
3.1 KiB
Python
"""
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# Copyright (c) 2025 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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# 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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"""
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# from fastdeploy.config import FDConfig
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from fastdeploy.model_executor.guided_decoding.base_guided_decoding import (
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BackendBase,
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BaseChecker,
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LogitsProcessorBase,
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)
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__all__ = ["get_guided_backend", "schema_checker", "LogitsProcessorBase", "BackendBase", "BaseChecker"]
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def get_guided_backend(
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fd_config,
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**kwargs,
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):
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"""
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Get the guided decoding backend instance based on configuration.
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Args:
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fd_config (FDConfig): FastDeploy configuration object containing backend settings
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**kwargs: Additional arguments passed to the backend constructor
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Returns:
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BaseBackend: An instance of the specified guided decoding backend
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Raises:
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ValueError: If the specified backend is not supported
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"""
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if fd_config.structured_outputs_config.guided_decoding_backend.lower() == "xgrammar":
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from fastdeploy.model_executor.guided_decoding.xgrammar_backend import (
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XGrammarBackend,
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)
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return XGrammarBackend(
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fd_config=fd_config,
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**kwargs,
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)
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elif fd_config.structured_outputs_config.guided_decoding_backend.lower() == "guidance":
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from fastdeploy.model_executor.guided_decoding.guidance_backend import (
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LLGuidanceBackend,
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)
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return LLGuidanceBackend(
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fd_config=fd_config,
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**kwargs,
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)
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else:
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raise ValueError(
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f"Get unsupported backend {fd_config.structured_outputs_config.guided_decoding_backend},"
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f" please check your configuration."
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)
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def schema_checker(backend_name: str, **kwargs):
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"""
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Get the schema checker instance for the specified backend.
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Args:
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backend_name (str): Name of the backend (e.g. "xgrammar")
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**kwargs: Additional arguments passed to the checker constructor
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Returns:
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BaseChecker: An instance of the specified schema checker
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Raises:
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ValueError: If the specified backend is not supported
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"""
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if backend_name.lower() == "xgrammar":
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from fastdeploy.model_executor.guided_decoding.xgrammar_backend import (
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XGrammarChecker,
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)
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return XGrammarChecker(**kwargs)
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elif backend_name.lower() == "guidance":
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from fastdeploy.model_executor.guided_decoding.guidance_backend import (
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LLGuidanceChecker,
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)
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return LLGuidanceChecker(**kwargs)
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else:
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raise ValueError(f"Get unsupported backend {backend_name}, please check your configuration.")
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