chore: Remove TRT-LLM C++ engine in favor of Python one (#747)

lib/engines/trtllm/src/executor/protocols/stats.rs

-// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-// SPDX-License-Identifier: Apache-2.0
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-// http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use super::kv::ForwardPassMetrics;
-use serde::{Deserialize, Serialize};
-
-#[derive(Serialize, Deserialize, Debug, Clone)]
-pub struct IterStats {
-    pub stats: Vec<ForwardPassMetrics>,
-}

lib/engines/trtllm/src/lib.rs

-// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
-// SPDX-License-Identifier: Apache-2.0
-//
-// Licensed under the Apache License, Version 2.0 (the "License");
-// you may not use this file except in compliance with the License.
-// You may obtain a copy of the License at
-//
-// http://www.apache.org/licenses/LICENSE-2.0
-//
-// Unless required by applicable law or agreed to in writing, software
-// distributed under the License is distributed on an "AS IS" BASIS,
-// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-// See the License for the specific language governing permissions and
-// limitations under the License.
-
-use std::sync::Arc;
-
-use dynamo_llm::backend::ExecutionContext;
-use dynamo_runtime::pipeline::error as pipeline_error;
-
-pub mod executor;
-
-/// Create a TRT-LLM engine.
-pub fn make_engine<P: ToString>(
-    // A full repo with .engine files, config.json,
-    model_path: P,
-    // How many GPUs to use
-    tensor_parallel_size: u32,
-) -> pipeline_error::Result<ExecutionContext> {
-    let config = executor::config::ExecutorConfig::builder()
-        .model_path(model_path.to_string())
-        .tensor_parallel_size(Some(tensor_parallel_size))
-        .build()?;
-    let engine = executor::Executor::new(config)?;
-    engine.start_response_processor();
-    engine.start_kv_event_processor();
-    engine.start_iteration_metrics_processor();
-    let engine: ExecutionContext = Arc::new(engine);
-    Ok(engine)
-}