endpoint.rs 3.94 KB
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// SPDX-FileCopyrightText: Copyright (c) 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.

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use dynamo_llm::{
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    backend::Backend,
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    http::service::discovery::ModelEntry,
    model_type::ModelType,
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    preprocessor::OpenAIPreprocessor,
    types::{
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        openai::chat_completions::{
            NvCreateChatCompletionRequest, NvCreateChatCompletionStreamResponse,
        },
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        Annotated,
    },
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};
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use dynamo_runtime::pipeline::{
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    network::Ingress, ManyOut, Operator, SegmentSource, ServiceBackend, SingleIn, Source,
};
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use dynamo_runtime::{protocols::Endpoint, DistributedRuntime};
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use crate::EngineConfig;
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pub async fn run(
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    distributed_runtime: DistributedRuntime,
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    path: String,
    engine_config: EngineConfig,
) -> anyhow::Result<()> {
    // This will attempt to connect to NATS and etcd

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    let cancel_token = distributed_runtime.primary_token().clone();
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    let endpoint_id: Endpoint = path.parse()?;
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    let etcd_client = distributed_runtime.etcd_client();

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    let (ingress, service_name) = match engine_config {
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        EngineConfig::StaticFull {
            service_name,
            engine,
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        } => (Ingress::for_engine(engine)?, service_name),
        EngineConfig::StaticCore {
            service_name,
            engine: inner_engine,
            card,
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        } => {
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            let frontend = SegmentSource::<
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                SingleIn<NvCreateChatCompletionRequest>,
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                ManyOut<Annotated<NvCreateChatCompletionStreamResponse>>,
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            >::new();
            let preprocessor = OpenAIPreprocessor::new(*card.clone())
                .await?
                .into_operator();
            let backend = Backend::from_mdc(*card.clone()).await?.into_operator();
            let engine = ServiceBackend::from_engine(inner_engine);
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            let pipeline = frontend
                .link(preprocessor.forward_edge())?
                .link(backend.forward_edge())?
                .link(engine)?
                .link(backend.backward_edge())?
                .link(preprocessor.backward_edge())?
                .link(frontend)?;
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            (Ingress::for_pipeline(pipeline)?, service_name)
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        }
        EngineConfig::Dynamic(_) => {
            anyhow::bail!("Cannot use endpoint for both in and out");
        }
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        EngineConfig::None => unreachable!(),
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    };

    let model_registration = ModelEntry {
        name: service_name.to_string(),
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        endpoint: endpoint_id.clone(),
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        model_type: ModelType::Chat,
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    };
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    let component = distributed_runtime
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        .namespace(endpoint_id.namespace)?
        .component(endpoint_id.component)?;
    let endpoint = component
        .service_builder()
        .create()
        .await?
        .endpoint(endpoint_id.name);
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    if let Some(etcd_client) = etcd_client {
        let network_name = endpoint.subject_to(etcd_client.lease_id());
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        tracing::debug!("Registering with etcd as {network_name}");
        etcd_client
            .kv_create(
                network_name.clone(),
                serde_json::to_vec_pretty(&model_registration)?,
                Some(etcd_client.lease_id()),
            )
            .await?;
    }
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    let rt_fut = endpoint.endpoint_builder().handler(ingress).start();
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    tokio::select! {
        _ = rt_fut => {
            tracing::debug!("Endpoint ingress ended");
        }
        _ = cancel_token.cancelled() => {
        }
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    }
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    Ok(())
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}