dynamo_llm/

engines.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::env;
use std::sync::Arc;
use std::sync::LazyLock;
use std::time::Duration;

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

use dynamo_runtime::engine::{AsyncEngine, AsyncEngineContextProvider, ResponseStream};
use dynamo_runtime::pipeline::{Error, ManyOut, SingleIn};
use dynamo_runtime::protocols::annotated::Annotated;

use crate::backend::ExecutionContext;
use crate::preprocessor::PreprocessedRequest;
use crate::protocols::common::llm_backend::LLMEngineOutput;
use crate::protocols::openai::{
    chat_completions::{NvCreateChatCompletionRequest, NvCreateChatCompletionStreamResponse},
    completions::{prompt_to_string, CompletionResponse, NvCreateCompletionRequest},
};
use crate::types::openai::embeddings::NvCreateEmbeddingRequest;
use crate::types::openai::embeddings::NvCreateEmbeddingResponse;

//
// The engines are each in their own crate under `lib/engines`
//

#[derive(Debug, Clone)]
pub struct MultiNodeConfig {
    /// How many nodes / hosts we are using
    pub num_nodes: u32,
    /// Unique consecutive integer to identify this node
    pub node_rank: u32,
    /// host:port of head / control node
    pub leader_addr: String,
}

impl Default for MultiNodeConfig {
    fn default() -> Self {
        MultiNodeConfig {
            num_nodes: 1,
            node_rank: 0,
            leader_addr: "".to_string(),
        }
    }
}

//
// Example echo engines
//

/// How long to sleep between echoed tokens.
/// Default is 10ms which gives us 100 tok/s.
/// Can be configured via the DYN_TOKEN_ECHO_DELAY_MS environment variable.
pub static TOKEN_ECHO_DELAY: LazyLock<Duration> = LazyLock::new(|| {
    const DEFAULT_DELAY_MS: u64 = 10;

    let delay_ms = env::var("DYN_TOKEN_ECHO_DELAY_MS")
        .ok()
        .and_then(|val| val.parse::<u64>().ok())
        .unwrap_or(DEFAULT_DELAY_MS);

    Duration::from_millis(delay_ms)
});

/// Engine that accepts pre-processed requests and echos the tokens back as the response
/// The response will include the full prompt template.
/// Useful for testing pre-processing.
struct EchoEngineCore {}
pub fn make_engine_core() -> ExecutionContext {
    Arc::new(EchoEngineCore {})
}

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

        let output = stream! {
            for tok in request.token_ids {
                tokio::time::sleep(*TOKEN_ECHO_DELAY).await;
                yield delta_core(tok);
            }
            yield Annotated::from_data(LLMEngineOutput::stop());
        };
        Ok(ResponseStream::new(Box::pin(output), ctx))
    }
}

fn delta_core(tok: u32) -> Annotated<LLMEngineOutput> {
    let delta = LLMEngineOutput {
        token_ids: vec![tok],
        tokens: None,
        text: None,
        cum_log_probs: None,
        log_probs: None,
        finish_reason: None,
    };
    Annotated::from_data(delta)
}

/// Engine that accepts un-preprocessed requests and echos the prompt back as the response
/// Useful for testing ingress such as service-http.
struct EchoEngineFull {}

/// Engine that dispatches requests to either OpenAICompletions
//or OpenAIChatCompletions engine
pub struct EngineDispatcher<E> {
    inner: E,
}

impl<E> EngineDispatcher<E> {
    pub fn new(inner: E) -> Self {
        EngineDispatcher { inner }
    }
}

/// Trait that allows handling both completion and chat completions requests
#[async_trait]
pub trait StreamingEngine: Send + Sync {
    async fn handle_completion(
        &self,
        req: SingleIn<NvCreateCompletionRequest>,
    ) -> Result<ManyOut<Annotated<CompletionResponse>>, Error>;

    async fn handle_chat(
        &self,
        req: SingleIn<NvCreateChatCompletionRequest>,
    ) -> Result<ManyOut<Annotated<NvCreateChatCompletionStreamResponse>>, Error>;
}

/// Trait that allows handling embedding requests
#[async_trait]
pub trait EmbeddingEngine: Send + Sync {
    async fn handle_embedding(
        &self,
        req: SingleIn<NvCreateEmbeddingRequest>,
    ) -> Result<ManyOut<Annotated<NvCreateEmbeddingResponse>>, Error>;
}

pub fn make_engine_full() -> Arc<dyn StreamingEngine> {
    let engine = EchoEngineFull {};
    let data = EngineDispatcher::new(engine);
    Arc::new(data)
}

#[async_trait]
impl
    AsyncEngine<
        SingleIn<NvCreateChatCompletionRequest>,
        ManyOut<Annotated<NvCreateChatCompletionStreamResponse>>,
        Error,
    > for EchoEngineFull
{
    async fn generate(
        &self,
        incoming_request: SingleIn<NvCreateChatCompletionRequest>,
    ) -> Result<ManyOut<Annotated<NvCreateChatCompletionStreamResponse>>, Error> {
        let (request, context) = incoming_request.transfer(());
        let deltas = request.response_generator();
        let ctx = context.context();
        let req = request.inner.messages.into_iter().next_back().unwrap();

        let prompt = match req {
            async_openai::types::ChatCompletionRequestMessage::User(user_msg) => {
                match user_msg.content {
                    async_openai::types::ChatCompletionRequestUserMessageContent::Text(prompt) => {
                        prompt
                    }
                    _ => anyhow::bail!("Invalid request content field, expected Content::Text"),
                }
            }
            _ => anyhow::bail!("Invalid request type, expected User message"),
        };

        let output = stream! {
            let mut id = 1;
            for c in prompt.chars() {
                // we are returning characters not tokens, so there will be some postprocessing overhead
                tokio::time::sleep(*TOKEN_ECHO_DELAY).await;
                let inner = deltas.create_choice(0, Some(c.to_string()), None, None);
                let response = NvCreateChatCompletionStreamResponse {
                    inner,
                };
                yield Annotated{ id: Some(id.to_string()), data: Some(response), event: None, comment: None };
                id += 1;
            }

            let inner = deltas.create_choice(0, None, Some(async_openai::types::FinishReason::Stop), None);
            let response = NvCreateChatCompletionStreamResponse {
                inner,
            };
            yield Annotated { id: Some(id.to_string()), data: Some(response), event: None, comment: None };
        };

        Ok(ResponseStream::new(Box::pin(output), ctx))
    }
}

#[async_trait]
impl AsyncEngine<SingleIn<NvCreateCompletionRequest>, ManyOut<Annotated<CompletionResponse>>, Error>
    for EchoEngineFull
{
    async fn generate(
        &self,
        incoming_request: SingleIn<NvCreateCompletionRequest>,
    ) -> Result<ManyOut<Annotated<CompletionResponse>>, Error> {
        let (request, context) = incoming_request.transfer(());
        let deltas = request.response_generator();
        let ctx = context.context();
        let chars_string = prompt_to_string(&request.inner.prompt);
        let output = stream! {
            let mut id = 1;
            for c in chars_string.chars() {
                tokio::time::sleep(*TOKEN_ECHO_DELAY).await;
                let response = deltas.create_choice(0, Some(c.to_string()), None);
                yield Annotated{ id: Some(id.to_string()), data: Some(response), event: None, comment: None };
                id += 1;
            }
            let response = deltas.create_choice(0, None, Some("stop".to_string()));
            yield Annotated { id: Some(id.to_string()), data: Some(response), event: None, comment: None };

        };

        Ok(ResponseStream::new(Box::pin(output), ctx))
    }
}

#[async_trait]
impl
    AsyncEngine<
        SingleIn<NvCreateEmbeddingRequest>,
        ManyOut<Annotated<NvCreateEmbeddingResponse>>,
        Error,
    > for EchoEngineFull
{
    async fn generate(
        &self,
        _incoming_request: SingleIn<NvCreateEmbeddingRequest>,
    ) -> Result<ManyOut<Annotated<NvCreateEmbeddingResponse>>, Error> {
        unimplemented!()
    }
}

#[async_trait]
impl<E> StreamingEngine for EngineDispatcher<E>
where
    E: AsyncEngine<
            SingleIn<NvCreateCompletionRequest>,
            ManyOut<Annotated<CompletionResponse>>,
            Error,
        > + AsyncEngine<
            SingleIn<NvCreateChatCompletionRequest>,
            ManyOut<Annotated<NvCreateChatCompletionStreamResponse>>,
            Error,
        > + AsyncEngine<
            SingleIn<NvCreateEmbeddingRequest>,
            ManyOut<Annotated<NvCreateEmbeddingResponse>>,
            Error,
        > + Send
        + Sync,
{
    async fn handle_completion(
        &self,
        req: SingleIn<NvCreateCompletionRequest>,
    ) -> Result<ManyOut<Annotated<CompletionResponse>>, Error> {
        self.inner.generate(req).await
    }

    async fn handle_chat(
        &self,
        req: SingleIn<NvCreateChatCompletionRequest>,
    ) -> Result<ManyOut<Annotated<NvCreateChatCompletionStreamResponse>>, Error> {
        self.inner.generate(req).await
    }
}

#[async_trait]
impl<E> EmbeddingEngine for EngineDispatcher<E>
where
    E: AsyncEngine<
            SingleIn<NvCreateEmbeddingRequest>,
            ManyOut<Annotated<NvCreateEmbeddingResponse>>,
            Error,
        > + Send
        + Sync,
{
    async fn handle_embedding(
        &self,
        req: SingleIn<NvCreateEmbeddingRequest>,
    ) -> Result<ManyOut<Annotated<NvCreateEmbeddingResponse>>, Error> {
        self.inner.generate(req).await
    }
}

pub struct EmbeddingEngineAdapter(Arc<dyn EmbeddingEngine>);

impl EmbeddingEngineAdapter {
    pub fn new(engine: Arc<dyn EmbeddingEngine>) -> Self {
        EmbeddingEngineAdapter(engine)
    }
}

#[async_trait]
impl
    AsyncEngine<
        SingleIn<NvCreateEmbeddingRequest>,
        ManyOut<Annotated<NvCreateEmbeddingResponse>>,
        Error,
    > for EmbeddingEngineAdapter
{
    async fn generate(
        &self,
        req: SingleIn<NvCreateEmbeddingRequest>,
    ) -> Result<ManyOut<Annotated<NvCreateEmbeddingResponse>>, Error> {
        self.0.handle_embedding(req).await
    }
}

pub struct StreamingEngineAdapter(Arc<dyn StreamingEngine>);

impl StreamingEngineAdapter {
    pub fn new(engine: Arc<dyn StreamingEngine>) -> Self {
        StreamingEngineAdapter(engine)
    }
}

#[async_trait]
impl AsyncEngine<SingleIn<NvCreateCompletionRequest>, ManyOut<Annotated<CompletionResponse>>, Error>
    for StreamingEngineAdapter
{
    async fn generate(
        &self,
        req: SingleIn<NvCreateCompletionRequest>,
    ) -> Result<ManyOut<Annotated<CompletionResponse>>, Error> {
        self.0.handle_completion(req).await
    }
}

#[async_trait]
impl
    AsyncEngine<
        SingleIn<NvCreateChatCompletionRequest>,
        ManyOut<Annotated<NvCreateChatCompletionStreamResponse>>,
        Error,
    > for StreamingEngineAdapter
{
    async fn generate(
        &self,
        req: SingleIn<NvCreateChatCompletionRequest>,
    ) -> Result<ManyOut<Annotated<NvCreateChatCompletionStreamResponse>>, Error> {
        self.0.handle_chat(req).await
    }
}