guided decoding parameters for tensorrt_llm backend must be present even if not needed

System Info

Nvidia rtx 3090 ti
nvcr.io/nvidia/tritonserver:25.05-trtllm-python-py3

Who can help?

@ncomly-nvidia

Information

• The official example scripts
• My own modified scripts

Tasks

• An officially supported task in the examples folder (such as GLUE/SQuAD, ...)
• My own task or dataset (give details below)

Reproduction

Steps to reproduce the behaviour:

1. take any tensorrt_llm compiled plan
2. delete from config.pbtxt parameters tokenizer_dir, xgrammar_tokenizer_info_path or guided_decoding_backend

Expected behavior

tensorrtllm_backend should start normally

actual behavior

tensorrtllm_backend crashes with a message that a parameter is missing, although it's not used.

additional notes

https://github.com/NVIDIA/TensorRT-LLM/blob/7b210ae9c3fbc43501a529546d7c21d1f77c52ce/triton_backend/inflight_batcher_llm/src/model_instance_state.cc#L410-L453