engine.rs 3.49 KB
Newer Older
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
// 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::path::Path;

use async_stream::stream;
use async_trait::async_trait;

use crate::protocols::common::llm_backend::{BackendInput, LLMEngineOutput};
use triton_distributed_runtime::engine::{AsyncEngine, AsyncEngineContextProvider, ResponseStream};
use triton_distributed_runtime::pipeline::{Error, ManyOut, SingleIn};
use triton_distributed_runtime::protocols::annotated::Annotated;
use triton_distributed_runtime::runtime::CancellationToken;

use crate::engines::sglang::MultiNodeConfig;

pub struct SgLangEngine {
    cancel_token: CancellationToken,
    worker: super::worker::SgLangWorker,
}

impl SgLangEngine {
    pub async fn new(
        cancel_token: CancellationToken,
        sock_code: &str,
        model_path: &Path,
        node_conf: MultiNodeConfig,
        tensor_parallel_size: u32,
        base_gpu_id: u32,
    ) -> anyhow::Result<Self> {
        let w = super::worker::start(
            cancel_token.clone(),
            sock_code,
            model_path,
            node_conf,
            tensor_parallel_size,
            base_gpu_id,
        )
        .await?;
        let engine = SgLangEngine {
            cancel_token,
            worker: w,
        };

        Ok(engine)
    }

    pub fn take_sglang_worker_handle(&mut self) -> tokio::task::JoinHandle<()> {
        self.worker.take_sglang_handle()
    }
}

#[async_trait]
impl AsyncEngine<SingleIn<BackendInput>, ManyOut<Annotated<LLMEngineOutput>>, Error>
    for SgLangEngine
{
    async fn generate(
        &self,
        request: SingleIn<BackendInput>,
    ) -> Result<ManyOut<Annotated<LLMEngineOutput>>, Error> {
        let (request, context) = request.into_parts();
        let ctx = context.context();
        let request_id = ctx.id().to_string();

        let (resp_tx, mut resp_rx) = tokio::sync::mpsc::channel(128);
        let work_req = super::worker::WorkRequest {
            request_id: context.id().to_string(),
            request,
            response_channel: resp_tx,
        };
        self.worker.enqueue_request(work_req).await?;

        let cancel_token = self.cancel_token.clone();
        let output = stream! {
            loop {
                tokio::select! {
                    _ = cancel_token.cancelled() => {
                        break;
                    }
                    maybe_resp_rx = resp_rx.recv() => {
                        match maybe_resp_rx {
                            Some(out) => {
                                yield out;
                            },
                            None => {
                                tracing::trace!(request_id, "generate: response channel closed");
                                break;
                            }
                        }
                    }
                }
            }
        };
        Ok(ResponseStream::new(Box::pin(output), ctx))
    }
}