feat: OpenAI compatible http service (#123)

Signed-off-by: Ryan Olson <ryanolson@users.noreply.github.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>
Co-authored-by: Neelay Shah <neelays@nvidia.com>

llm/rust/triton-llm/src/protocols/openai/chat_completions/aggregator.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::{
+    ChatCompletionChoice, ChatCompletionContent, ChatCompletionResponse,
+    ChatCompletionResponseDelta, CompletionUsage, FinishReason, MessageRole, ServiceTier,
+};
+use crate::protocols::{
+    codec::{Message, SseCodecError},
+    common::ChatCompletionLogprobs,
+    convert_sse_stream, Annotated,
+};
+
+use futures::{Stream, StreamExt};
+use std::{collections::HashMap, pin::Pin};
+
+type DataStream<T> = Pin<Box<dyn Stream<Item = T> + Send + Sync>>;
+
+/// Aggregates a stream of [`ChatCompletionResponseDelta`]s into a single [`ChatCompletionResponse`].
+pub struct DeltaAggregator {
+    id: String,
+    model: String,
+    created: u64,
+    usage: Option<CompletionUsage>,
+    system_fingerprint: Option<String>,
+    choices: HashMap<u64, DeltaChoice>,
+    error: Option<String>,
+    service_tier: Option<ServiceTier>,
+}
+
+// Holds the accumulated state of a choice
+struct DeltaChoice {
+    index: u64,
+    text: String,
+    role: Option<MessageRole>,
+    finish_reason: Option<FinishReason>,
+    logprobs: Option<ChatCompletionLogprobs>,
+}
+
+impl Default for DeltaAggregator {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+impl DeltaAggregator {
+    /// Creates a new [`DeltaAggregator`].
+    pub fn new() -> Self {
+        Self {
+            id: "".to_string(),
+            model: "".to_string(),
+            created: 0,
+            usage: None,
+            system_fingerprint: None,
+            choices: HashMap::new(),
+            error: None,
+            service_tier: None,
+        }
+    }
+
+    /// Aggregates a stream of [`ChatCompletionResponseDelta`]s into a single [`ChatCompletionResponse`].
+    pub async fn apply(
+        stream: DataStream<Annotated<ChatCompletionResponseDelta>>,
+    ) -> Result<ChatCompletionResponse, String> {
+        let aggregator = stream
+            .fold(DeltaAggregator::new(), |mut aggregator, delta| async move {
+                // these are cheap to move so we do it every time since we are consuming the delta
+
+                let delta = match delta.ok() {
+                    Ok(delta) => delta,
+                    Err(error) => {
+                        aggregator.error = Some(error);
+                        return aggregator;
+                    }
+                };
+
+                if aggregator.error.is_none() && delta.data.is_some() {
+                    // note: we could extract annotations here and add them to the aggregator
+                    // to be return as part of the NIM Response Extension
+                    // TODO(#14) - Aggregate Annotation
+
+                    let delta = delta.data.unwrap();
+                    aggregator.id = delta.id;
+                    aggregator.model = delta.model;
+                    aggregator.created = delta.created;
+                    aggregator.service_tier = delta.service_tier;
+                    if let Some(usage) = delta.usage {
+                        aggregator.usage = Some(usage);
+                    }
+                    if let Some(system_fingerprint) = delta.system_fingerprint {
+                        aggregator.system_fingerprint = Some(system_fingerprint);
+                    }
+
+                    // handle the choices
+                    for choice in delta.choices {
+                        let state_choice =
+                            aggregator
+                                .choices
+                                .entry(choice.index)
+                                .or_insert(DeltaChoice {
+                                    index: choice.index,
+                                    text: "".to_string(),
+                                    role: choice.delta.role,
+                                    finish_reason: None,
+                                    logprobs: choice.logprobs,
+                                });
+
+                        if let Some(content) = &choice.delta.content {
+                            state_choice.text.push_str(content);
+                        }
+
+                        if let Some(finish_reason) = choice.finish_reason {
+                            state_choice.finish_reason = Some(finish_reason);
+                        }
+                    }
+                }
+                aggregator
+            })
+            .await;
+
+        // If we have an error, return it
+        let aggregator = if let Some(error) = aggregator.error {
+            return Err(error);
+        } else {
+            aggregator
+        };
+
+        // extra the aggregated deltas and sort by index
+        let mut choices: Vec<_> = aggregator
+            .choices
+            .into_values()
+            .map(ChatCompletionChoice::from)
+            .collect();
+
+        choices.sort_by(|a, b| a.index.cmp(&b.index));
+
+        Ok(ChatCompletionResponse {
+            id: aggregator.id,
+            created: aggregator.created,
+            usage: aggregator.usage,
+            model: aggregator.model,
+            object: "chat.completion".to_string(),
+            system_fingerprint: aggregator.system_fingerprint,
+            choices,
+            service_tier: aggregator.service_tier,
+        })
+    }
+}
+
+// todo - handle tool calls
+impl From<DeltaChoice> for ChatCompletionChoice {
+    fn from(delta: DeltaChoice) -> Self {
+        ChatCompletionChoice {
+            message: ChatCompletionContent {
+                role: delta.role,
+                content: Some(delta.text),
+                tool_calls: None,
+            },
+            index: delta.index,
+            finish_reason: delta.finish_reason.unwrap_or(FinishReason::length),
+            logprobs: delta.logprobs,
+        }
+    }
+}
+
+impl ChatCompletionResponse {
+    pub async fn from_sse_stream(
+        stream: DataStream<Result<Message, SseCodecError>>,
+    ) -> Result<ChatCompletionResponse, String> {
+        let stream = convert_sse_stream::<ChatCompletionResponseDelta>(stream);
+        ChatCompletionResponse::from_annotated_stream(stream).await
+    }
+
+    pub async fn from_annotated_stream(
+        stream: DataStream<Annotated<ChatCompletionResponseDelta>>,
+    ) -> Result<ChatCompletionResponse, String> {
+        DeltaAggregator::apply(stream).await
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use crate::protocols::openai::chat_completions::ChatCompletionChoiceDelta;
+
+    use super::*;
+    use futures::stream;
+
+    fn create_test_delta(
+        index: u64,
+        text: &str,
+        role: Option<MessageRole>,
+        finish_reason: Option<FinishReason>,
+    ) -> Annotated<ChatCompletionResponseDelta> {
+        Annotated {
+            data: Some(ChatCompletionResponseDelta {
+                id: "test_id".to_string(),
+                model: "meta/llama-3.1-8b-instruct".to_string(),
+                created: 1234567890,
+                service_tier: None,
+                usage: None,
+                system_fingerprint: None,
+                choices: vec![ChatCompletionChoiceDelta {
+                    index,
+                    delta: ChatCompletionContent {
+                        role,
+                        content: Some(text.to_string()),
+                        tool_calls: None,
+                    },
+                    finish_reason,
+                    logprobs: None,
+                }],
+                object: "chat.completion".to_string(),
+            }),
+            id: Some("test_id".to_string()),
+            event: None,
+            comment: None,
+        }
+    }
+
+    #[tokio::test]
+    async fn test_empty_stream() {
+        // Create an empty stream
+        let stream: DataStream<Annotated<ChatCompletionResponseDelta>> = Box::pin(stream::empty());
+
+        // Call DeltaAggregator::apply
+        let result = DeltaAggregator::apply(stream).await;
+
+        // Check the result
+        assert!(result.is_ok());
+        let response = result.unwrap();
+
+        // Verify that the response is empty and has default values
+        assert_eq!(response.id, "");
+        assert_eq!(response.model, "");
+        assert_eq!(response.created, 0);
+        assert!(response.usage.is_none());
+        assert!(response.system_fingerprint.is_none());
+        assert_eq!(response.choices.len(), 0);
+        assert!(response.service_tier.is_none());
+    }
+
+    #[tokio::test]
+    async fn test_single_delta() {
+        // Create a sample delta
+        let annotated_delta = create_test_delta(0, "Hello,", Some(MessageRole::user), None);
+
+        // Create a stream
+        let stream = Box::pin(stream::iter(vec![annotated_delta]));
+
+        // Call DeltaAggregator::apply
+        let result = DeltaAggregator::apply(stream).await;
+
+        // Check the result
+        assert!(result.is_ok());
+        let response = result.unwrap();
+
+        // Verify the response fields
+        assert_eq!(response.id, "test_id");
+        assert_eq!(response.model, "meta/llama-3.1-8b-instruct");
+        assert_eq!(response.created, 1234567890);
+        assert!(response.usage.is_none());
+        assert!(response.system_fingerprint.is_none());
+        assert_eq!(response.choices.len(), 1);
+        let choice = &response.choices[0];
+        assert_eq!(choice.index, 0);
+        assert_eq!(choice.message.content.as_ref().unwrap(), "Hello,");
+        assert_eq!(choice.finish_reason, FinishReason::length);
+        assert_eq!(choice.message.role.as_ref().unwrap(), &MessageRole::user);
+        assert!(response.service_tier.is_none());
+    }
+
+    #[tokio::test]
+    async fn test_multiple_deltas_same_choice() {
+        // Create multiple deltas with the same choice index
+        // One will have a MessageRole and no FinishReason,
+        // the other will have a FinishReason and no MessageRole
+        let annotated_delta1 = create_test_delta(0, "Hello,", Some(MessageRole::user), None);
+        let annotated_delta2 = create_test_delta(0, " world!", None, Some(FinishReason::stop));
+
+        // Create a stream
+        let annotated_deltas = vec![annotated_delta1, annotated_delta2];
+        let stream = Box::pin(stream::iter(annotated_deltas));
+
+        // Call DeltaAggregator::apply
+        let result = DeltaAggregator::apply(stream).await;
+
+        // Check the result
+        assert!(result.is_ok());
+        let response = result.unwrap();
+
+        // Verify the response fields
+        assert_eq!(response.choices.len(), 1);
+        let choice = &response.choices[0];
+        assert_eq!(choice.index, 0);
+        assert_eq!(choice.message.content.as_ref().unwrap(), "Hello, world!");
+        assert_eq!(choice.finish_reason, FinishReason::stop);
+        assert_eq!(choice.message.role.as_ref().unwrap(), &MessageRole::user);
+    }
+
+    #[tokio::test]
+    async fn test_multiple_choices() {
+        // Create a delta with multiple choices
+        let delta = ChatCompletionResponseDelta {
+            id: "test_id".to_string(),
+            model: "test_model".to_string(),
+            created: 1234567890,
+            usage: None,
+            system_fingerprint: None,
+            choices: vec![
+                ChatCompletionChoiceDelta {
+                    index: 0,
+                    delta: ChatCompletionContent {
+                        role: Some(MessageRole::assistant),
+                        content: Some("Choice 0".to_string()),
+                        tool_calls: None,
+                    },
+                    finish_reason: Some(FinishReason::stop),
+                    logprobs: None,
+                },
+                ChatCompletionChoiceDelta {
+                    index: 1,
+                    delta: ChatCompletionContent {
+                        role: Some(MessageRole::assistant),
+                        content: Some("Choice 1".to_string()),
+                        tool_calls: None,
+                    },
+                    finish_reason: Some(FinishReason::stop),
+                    logprobs: None,
+                },
+            ],
+            object: "chat.completion".to_string(),
+            service_tier: None,
+        };
+
+        // Wrap it in Annotated and create a stream
+        let annotated_delta = Annotated {
+            data: Some(delta),
+            id: Some("test_id".to_string()),
+            event: None,
+            comment: None,
+        };
+        let stream = Box::pin(stream::iter(vec![annotated_delta]));
+
+        // Call DeltaAggregator::apply
+        let result = DeltaAggregator::apply(stream).await;
+
+        // Check the result
+        assert!(result.is_ok());
+        let mut response = result.unwrap();
+
+        // Verify the response fields
+        assert_eq!(response.choices.len(), 2);
+        response.choices.sort_by(|a, b| a.index.cmp(&b.index)); // Ensure the choices are ordered
+        let choice0 = &response.choices[0];
+        assert_eq!(choice0.index, 0);
+        assert_eq!(choice0.message.content.as_ref().unwrap(), "Choice 0");
+        assert_eq!(choice0.finish_reason, FinishReason::stop);
+        assert_eq!(
+            choice0.message.role.as_ref().unwrap(),
+            &MessageRole::assistant
+        );
+
+        let choice1 = &response.choices[1];
+        assert_eq!(choice1.index, 1);
+        assert_eq!(choice1.message.content.as_ref().unwrap(), "Choice 1");
+        assert_eq!(choice1.finish_reason, FinishReason::stop);
+        assert_eq!(
+            choice1.message.role.as_ref().unwrap(),
+            &MessageRole::assistant
+        );
+    }
+}

llm/rust/triton-llm/src/protocols/openai/chat_completions/delta.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::{
+    ChatCompletionChoiceDelta, ChatCompletionContent, ChatCompletionRequest,
+    ChatCompletionResponseDelta, FinishReason, MessageRole, ServiceTier,
+};
+use crate::protocols::common;
+use crate::protocols::openai::CompletionUsage;
+
+impl ChatCompletionRequest {
+    // put this method on the request
+    // inspect the request to extract options
+    pub fn response_generator(&self) -> DeltaGenerator {
+        let options = DeltaGeneratorOptions {
+            enable_usage: true,
+            enable_logprobs: self.logprobs.unwrap_or(false),
+        };
+
+        DeltaGenerator::new(self.model.clone(), options)
+    }
+}
+
+#[derive(Debug, Clone, Default)]
+pub struct DeltaGeneratorOptions {
+    pub enable_usage: bool,
+    pub enable_logprobs: bool,
+}
+
+#[derive(Debug, Clone)]
+pub struct DeltaGenerator {
+    id: String,
+    object: String,
+    created: u64,
+    model: String,
+    system_fingerprint: Option<String>,
+    service_tier: Option<ServiceTier>,
+    usage: CompletionUsage,
+
+    // counter on how many messages we have issued
+    msg_counter: u64,
+
+    options: DeltaGeneratorOptions,
+}
+
+impl DeltaGenerator {
+    pub fn new(model: String, options: DeltaGeneratorOptions) -> Self {
+        let now = std::time::SystemTime::now()
+            .duration_since(std::time::UNIX_EPOCH)
+            .unwrap()
+            .as_secs();
+
+        Self {
+            id: format!("chatcmpl-{}", uuid::Uuid::new_v4()),
+            object: "chat.completion.chunk".to_string(),
+            created: now,
+            model,
+            system_fingerprint: None,
+            service_tier: None,
+            usage: CompletionUsage::default(),
+            msg_counter: 0,
+            options,
+        }
+    }
+
+    pub fn update_isl(&mut self, isl: i32) {
+        self.usage.prompt_tokens = isl;
+    }
+
+    pub fn create_choice(
+        &self,
+        index: u64,
+        text: Option<String>,
+        finish_reason: Option<super::FinishReason>,
+        logprobs: Option<super::ChatCompletionLogprobs>,
+    ) -> ChatCompletionResponseDelta {
+        // todo - update for tool calling
+        let delta = ChatCompletionContent {
+            content: text,
+            role: if self.msg_counter == 0 {
+                Some(MessageRole::assistant)
+            } else {
+                None
+            },
+            tool_calls: None,
+        };
+
+        ChatCompletionResponseDelta {
+            id: self.id.clone(),
+            object: self.object.clone(),
+            created: self.created,
+            model: self.model.clone(),
+            system_fingerprint: self.system_fingerprint.clone(),
+            choices: vec![ChatCompletionChoiceDelta {
+                index,
+                delta,
+                finish_reason,
+                logprobs,
+            }],
+            usage: if self.options.enable_usage {
+                Some(self.usage.clone())
+            } else {
+                None
+            },
+            service_tier: self.service_tier.clone(),
+        }
+    }
+}
+
+impl crate::protocols::openai::DeltaGeneratorExt<ChatCompletionResponseDelta> for DeltaGenerator {
+    fn choice_from_postprocessor(
+        &mut self,
+        delta: crate::protocols::common::llm_backend::BackendOutput,
+    ) -> anyhow::Result<ChatCompletionResponseDelta> {
+        // aggregate usage
+        if self.options.enable_usage {
+            self.usage.completion_tokens += delta.token_ids.len() as i32;
+        }
+
+        // todo logprobs
+        let logprobs = None;
+
+        let finish_reason = match delta.finish_reason {
+            Some(common::FinishReason::EoS) => Some(FinishReason::stop),
+            Some(common::FinishReason::Stop) => Some(FinishReason::stop),
+            Some(common::FinishReason::Length) => Some(FinishReason::length),
+            Some(common::FinishReason::Cancelled) => Some(FinishReason::cancelled),
+            Some(common::FinishReason::Error(err_msg)) => {
+                return Err(anyhow::anyhow!(err_msg));
+            }
+            None => None,
+        };
+
+        // create choice
+        let index = 0;
+        Ok(self.create_choice(index, delta.text, finish_reason, logprobs))
+    }
+}

llm/rust/triton-llm/src/protocols/openai/completions.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::collections::HashMap;
+
+use derive_builder::Builder;
+use serde::{Deserialize, Serialize};
+use validator::Validate;
+
+mod aggregator;
+mod delta;
+
+pub use aggregator::DeltaAggregator;
+
+use super::{
+    common::{self, SamplingOptionsProvider, StopConditionsProvider},
+    nvext::{NvExt, NvExtProvider},
+    validate_logit_bias, CompletionUsage, ContentProvider, OpenAISamplingOptionsProvider,
+    OpenAIStopConditionsProvider, MAX_FREQUENCY_PENALTY, MAX_PRESENCE_PENALTY, MAX_TEMPERATURE,
+    MAX_TOP_P, MIN_FREQUENCY_PENALTY, MIN_PRESENCE_PENALTY, MIN_TEMPERATURE, MIN_TOP_P,
+};
+
+/// Legacy OpenAI CompletionRequest
+///
+/// Reference: <https://platform.openai.com/docs/api-reference/completions>
+#[derive(Serialize, Deserialize, Builder, Validate, Debug, Clone)]
+#[builder(build_fn(private, name = "build_internal", validate = "Self::validate"))]
+pub struct CompletionRequest {
+    /// ID of the model to use.
+    #[builder(setter(into))]
+    pub model: String,
+
+    /// The prompt(s) to generate completions for, encoded as a string, array of
+    /// strings, array of tokens, or array of token arrays.
+    ///
+    /// NIM Compatibility:
+    /// The NIM LLM API only supports a single prompt as a string at this time.
+    #[builder(setter(into))]
+    pub prompt: String,
+
+    /// The maximum number of tokens that can be generated in the completion.
+    /// The token count of your prompt plus max_tokens cannot exceed the model's context length.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(into, strip_option))]
+    pub max_tokens: Option<i32>,
+
+    /// The minimum number of tokens to generate. We ignore stop tokens until we see this many
+    /// tokens. Leave this None unless you are working on the pre-processor.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(into, strip_option))]
+    pub min_tokens: Option<i32>,
+
+    /// If set, partial message deltas will be sent, like in ChatGPT. Tokens will be sent as data-only
+    /// server-sent events as they become available, with the stream terminated by a data: \[DONE\]
+    ///
+    /// If this is set to true, but the response cannot be streamed an error will be returned.
+    ///
+    /// NIM Compatibility:
+    /// The NIM SDK can send extra meta data in the SSE stream using the `:` comment, `event:`,
+    /// or `id:` fields. See the `enable_sse_metadata` field in the NvExt object.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(strip_option))]
+    pub stream: Option<bool>,
+
+    /// How many completions to generate for each prompt.
+    ///
+    /// Note: Because this parameter generates many completions, it can quickly consume your token quota.
+    /// Use carefully and ensure that you have reasonable settings for `max_tokens` and `stop`.
+    ///
+    /// NIM Compatibility:
+    /// At this time, the NIM LLM API does not support `n` completions.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(into, strip_option))]
+    pub n: Option<i32>,
+
+    /// Generates `best_of` completions server-side and returns the "best" (the one with the
+    /// highest log probability per token). Results cannot be streamed.
+    ///
+    /// When used with `n`, best_of controls the number of candidate completions and `n` specifies
+    /// how many to return – `best_of` must be greater than `n`.
+    ///
+    /// NIM Compatibility:
+    /// At this time, the NIM LLM API does not support `best_of` completions.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(into, strip_option))]
+    pub best_of: Option<i32>,
+
+    /// What sampling `temperature` to use, between 0 and 2. Higher values like 0.8 will make the
+    /// output more random, while lower values like 0.2 will make it more focused and deterministic.
+    ///
+    /// We generally recommend altering this or `top_p` but not both.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = "MIN_TEMPERATURE", max = "MAX_TEMPERATURE"))]
+    #[builder(default, setter(into, strip_option))]
+    pub temperature: Option<f32>,
+
+    /// An alternative to sampling with `temperature`, called nucleus sampling, where the model
+    /// considers the results of the tokens with `top_p` probability mass. So 0.1 means only the tokens
+    /// comprising the top 10% probability mass are considered.
+    ///
+    /// We generally recommend altering this or `temperature` but not both.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = "MIN_TOP_P", max = "MAX_TOP_P"))]
+    #[builder(default, setter(into, strip_option))]
+    pub top_p: Option<f32>,
+
+    /// Include the log probabilities on the logprobs most likely output tokens, as well the chosen tokens.
+    /// For example, if logprobs is 5, the API will return a list of the 5 most likely tokens. The API will
+    /// always return the logprob of the sampled token, so there may be up to logprobs+1 elements in the
+    /// response.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(into, strip_option))]
+    pub logprobs: Option<i32>,
+
+    /// Echo back the prompt in addition to the completion
+    ///
+    /// NIM Compatibility:
+    /// At this time, the NIM LLM API does not support `echo` completions.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(strip_option))]
+    pub echo: Option<bool>,
+
+    /// Up to 4 sequences where the API will stop generating further tokens. The returned text will not
+    /// contain the stop sequence.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    // #[builder(default, setter(into, strip_option))]
+    #[builder(default, setter(strip_option))]
+    pub stop: Option<Vec<String>>,
+
+    /// Number between -2.0 and 2.0. Positive values penalize new tokens based on their existing frequency
+    /// in the text so far, decreasing the model's likelihood to repeat the same line verbatim.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = "MIN_FREQUENCY_PENALTY", max = "MAX_FREQUENCY_PENALTY"))]
+    #[builder(default, setter(into, strip_option))]
+    pub frequency_penalty: Option<f32>,
+
+    /// Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in
+    /// the text so far, increasing the model's likelihood to talk about new topics.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(range(min = "MIN_PRESENCE_PENALTY", max = "MAX_PRESENCE_PENALTY"))]
+    #[builder(default, setter(into, strip_option))]
+    pub presence_penalty: Option<f32>,
+
+    /// Modify the likelihood of specified tokens appearing in the completion.
+    ///
+    /// Accepts a JSON object that maps tokens (specified by their token ID in the GPT tokenizer) to an
+    /// associated bias value from -100 to 100. You can use this tokenizer tool to convert text to token IDs.
+    /// Mathematically, the bias is added to the logits generated by the model prior to sampling. The exact
+    /// effect will vary per model, but values between -1 and 1 should decrease or increase likelihood of
+    /// selection; values like -100 or 100 should result in a ban or exclusive selection of the relevant token.
+    ///
+    /// As specified in the OpenAI examples, this is a map of tokens_ids as strings to a bias value that
+    /// is an integer.
+    ///
+    /// However, the OpenAI blog using the SDK shows that it can also be specified more accurately as a
+    /// map of token_ids as ints to a bias value that is also an int.
+    ///
+    /// NIM Compatibility:
+    /// In the conversion of the OpenAI request to the internal NIM format, the keys of this map will be
+    /// validated to ensure they are integers. Since different models may have different tokenizers, the
+    /// range and values will again be validated on the compute backend to ensure they map to valid tokens
+    /// in the vocabulary of the model.
+    ///
+    /// ```rust
+    /// use triton_llm::protocols::openai::completions::CompletionRequest;
+    ///
+    /// let request = CompletionRequest::builder()
+    ///     .prompt("What is the meaning of life?")
+    ///     .model("gpt-3.5-turbo")
+    ///     .add_logit_bias(1337, -100) // using an int as a key is ok
+    ///     .add_logit_bias("42", 100)  // using a string as a key is also ok
+    ///     .build()
+    ///     .expect("Should not fail");
+    ///
+    /// assert!(CompletionRequest::builder()
+    ///     .prompt("What is the meaning of life?")
+    ///     .model("gpt-3.5-turbo")
+    ///     .add_logit_bias("some non int", -100)
+    ///     .build()
+    ///     .is_err());
+    /// ```
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[validate(custom(function = "validate_logit_bias"))]
+    #[builder(default)]
+    pub logit_bias: Option<HashMap<String, i32>>,
+
+    /// A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.
+    ///
+    /// NIM Compatibility:
+    /// If provided, then the value of this field will be included in the trace metadata and the accounting
+    /// data (if enabled).
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(into, strip_option))]
+    pub user: Option<String>,
+
+    /// OpenAI specific API parameter; this is not supported by NIM models; however,
+    /// is preserved as part of the API for compatibility.
+    ///
+    /// OpenAI API Reference:
+    /// <https://platform.openai.com/docs/api-reference/completions/create>
+    ///
+    /// A validation error will be thrown if this field is set when executing against
+    /// any NIM model.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(into, strip_option))]
+    pub suffix: Option<String>,
+
+    /// NVIDIA extension to OpenAI's legacy v1::completion::CompletionRequest
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(strip_option))]
+    pub nvext: Option<NvExt>,
+}
+
+impl CompletionRequest {
+    /// Create a new CompletionRequestBuilder
+    pub fn builder() -> CompletionRequestBuilder {
+        CompletionRequestBuilder::default()
+    }
+}
+
+impl CompletionRequestBuilder {
+    // This is a pre-build validate function
+    // This is called before the generated build method, in this case build_internal, is called
+    // This has access to the internal state of the builder
+    fn validate(&self) -> Result<(), String> {
+        Ok(())
+    }
+
+    /// Builds and validates the CompletionRequest
+    ///
+    /// ```rust
+    /// use triton_llm::protocols::openai::completions::CompletionRequest;
+    ///
+    /// let request = CompletionRequest::builder()
+    ///     .model("mixtral-8x7b-instruct-v0.1")
+    ///     .prompt("Hello")
+    ///     .max_tokens(16)
+    ///     .build()
+    ///     .expect("Failed to build CompletionRequest");
+    /// ```
+    pub fn build(&self) -> anyhow::Result<CompletionRequest> {
+        // Calls the build_internal, validates the result, then performs addition
+        // post build validation. This is where we might handle any mutually exclusive fields
+        // and ensure there are no collisions.
+        let request = self
+            .build_internal()
+            .map_err(|e| anyhow::anyhow!("Failed to build CompletionRequest: {}", e))?;
+
+        request
+            .validate()
+            .map_err(|e| anyhow::anyhow!("Failed to validate CompletionRequest: {}", e))?;
+
+        Ok(request)
+    }
+
+    /// Add a stop condition to the `Vec<String>` in the ChatCompletionRequest
+    /// This will either create or append to the `Vec<String>`
+    pub fn add_stop(&mut self, stop: impl Into<String>) -> &mut Self {
+        if self.stop.is_none() {
+            self.stop = Some(Some(vec![]));
+        }
+        self.stop
+            .as_mut()
+            .unwrap()
+            .as_mut()
+            .unwrap()
+            .push(stop.into());
+        self
+    }
+
+    /// Add a tool to the `HashMap<String, i32>` in the ChatCompletionRequest
+    /// This will either create or update the `HashMap<String, i32>`
+    pub fn add_logit_bias<T>(&mut self, key: T, value: i32) -> &mut Self
+    where
+        T: std::fmt::Display,
+    {
+        if self.logit_bias.is_none() {
+            self.logit_bias = Some(Some(HashMap::new()));
+        }
+        self.logit_bias
+            .as_mut()
+            .unwrap()
+            .as_mut()
+            .unwrap()
+            .insert(key.to_string(), value);
+        self
+    }
+}
+
+/// Legacy OpenAI CompletionResponse
+/// Represents a completion response from the API.
+/// Note: both the streamed and non-streamed response objects share the same
+/// shape (unlike the chat endpoint).
+#[derive(Clone, Debug, Deserialize, Serialize)]
+pub struct CompletionResponse {
+    /// A unique identifier for the completion.
+    pub id: String,
+
+    /// The list of completion choices the model generated for the input prompt.
+    pub choices: Vec<CompletionChoice>,
+
+    /// The Unix timestamp (in seconds) of when the completion was created.
+    pub created: u64,
+
+    /// The model used for completion.
+    pub model: String,
+
+    /// The object type, which is always "text_completion"
+    pub object: String,
+
+    /// Usage statistics for the completion request.
+    pub usage: Option<CompletionUsage>,
+
+    /// This fingerprint represents the backend configuration that the model runs with.
+    /// Can be used in conjunction with the seed request parameter to understand when backend
+    /// changes have been made that might impact determinism.
+    ///
+    /// NIM Compatibility:
+    /// This field is not supported by the NIM; however it will be added in the future.
+    /// The optional nature of this field will be relaxed when it is supported.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub system_fingerprint: Option<String>,
+    // TODO(ryan)
+    // pub nvext: Option<NimResponseExt>,
+}
+
+/// Legacy OpenAI CompletionResponse Choice component
+#[derive(Clone, Debug, Deserialize, Serialize, Builder)]
+pub struct CompletionChoice {
+    #[builder(setter(into))]
+    pub text: String,
+
+    #[builder(default = "0")]
+    pub index: u64,
+
+    #[builder(default, setter(into, strip_option))]
+    pub finish_reason: Option<String>,
+
+    #[serde(skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(strip_option))]
+    pub logprobs: Option<LogprobResult>,
+}
+
+impl ContentProvider for CompletionChoice {
+    fn content(&self) -> String {
+        self.text.clone()
+    }
+}
+
+impl CompletionChoice {
+    pub fn builder() -> CompletionChoiceBuilder {
+        CompletionChoiceBuilder::default()
+    }
+}
+
+// TODO: validate this is the correct format
+/// Legacy OpenAI LogprobResult component
+#[derive(Clone, Debug, Deserialize, Serialize)]
+pub struct LogprobResult {
+    pub tokens: Vec<String>,
+    pub token_logprobs: Vec<f32>,
+    pub top_logprobs: Vec<HashMap<String, f32>>,
+    pub text_offset: Vec<i32>,
+}
+
+impl NvExtProvider for CompletionRequest {
+    fn nvext(&self) -> Option<&NvExt> {
+        self.nvext.as_ref()
+    }
+
+    fn raw_prompt(&self) -> Option<String> {
+        if let Some(nvext) = self.nvext.as_ref() {
+            if let Some(use_raw_prompt) = nvext.use_raw_prompt {
+                if use_raw_prompt {
+                    return Some(self.prompt.clone());
+                }
+            }
+        }
+        None
+    }
+}
+
+// impl AnnotationsProvider for CompletionRequest {
+//     fn annotations(&self) -> Option<Vec<String>> {
+//         self.nvext
+//             .as_ref()
+//             .and_then(|nvext| nvext.annotations.clone())
+//     }
+
+//     fn has_annotation(&self, annotation: &str) -> bool {
+//         self.nvext
+//             .as_ref()
+//             .and_then(|nvext| nvext.annotations.as_ref())
+//             .map(|annotations| annotations.contains(&annotation.to_string()))
+//             .unwrap_or(false)
+//     }
+// }
+
+impl OpenAISamplingOptionsProvider for CompletionRequest {
+    fn get_temperature(&self) -> Option<f32> {
+        self.temperature
+    }
+
+    fn get_top_p(&self) -> Option<f32> {
+        self.top_p
+    }
+
+    fn get_frequency_penalty(&self) -> Option<f32> {
+        self.frequency_penalty
+    }
+
+    fn get_presence_penalty(&self) -> Option<f32> {
+        self.presence_penalty
+    }
+
+    fn nvext(&self) -> Option<&NvExt> {
+        self.nvext.as_ref()
+    }
+}
+
+impl OpenAIStopConditionsProvider for CompletionRequest {
+    fn get_max_tokens(&self) -> Option<i32> {
+        self.max_tokens
+    }
+
+    fn get_min_tokens(&self) -> Option<i32> {
+        self.min_tokens
+    }
+
+    fn get_stop(&self) -> Option<Vec<String>> {
+        self.stop.clone()
+    }
+
+    fn nvext(&self) -> Option<&NvExt> {
+        self.nvext.as_ref()
+    }
+}
+
+#[derive(Builder)]
+pub struct ResponseFactory {
+    #[builder(setter(into))]
+    pub model: String,
+
+    #[builder(default)]
+    pub system_fingerprint: Option<String>,
+
+    #[builder(default = "format!(\"cmpl-{}\", uuid::Uuid::new_v4())")]
+    pub id: String,
+
+    #[builder(default = "\"text_completion\".to_string()")]
+    pub object: String,
+
+    #[builder(default = "chrono::Utc::now().timestamp() as u64")]
+    pub created: u64,
+}
+
+impl ResponseFactory {
+    pub fn builder() -> ResponseFactoryBuilder {
+        ResponseFactoryBuilder::default()
+    }
+
+    pub fn make_response(
+        &self,
+        choice: CompletionChoice,
+        usage: Option<CompletionUsage>,
+    ) -> CompletionResponse {
+        CompletionResponse {
+            id: self.id.clone(),
+            object: self.object.clone(),
+            created: self.created,
+            model: self.model.clone(),
+            choices: vec![choice],
+            system_fingerprint: self.system_fingerprint.clone(),
+            usage,
+        }
+    }
+}
+
+/// Implements TryFrom for converting an OpenAI's CompletionRequest to an Engine's CompletionRequest
+impl TryFrom<CompletionRequest> for common::CompletionRequest {
+    type Error = anyhow::Error;
+
+    fn try_from(request: CompletionRequest) -> Result<Self, Self::Error> {
+        // openai_api_rs::v1::completion::CompletionRequest {
+        // NA  pub model: String,
+        //     pub prompt: String,
+        // **  pub suffix: Option<String>,
+        //     pub max_tokens: Option<i32>,
+        //     pub temperature: Option<f32>,
+        //     pub top_p: Option<f32>,
+        //     pub n: Option<i32>,
+        //     pub stream: Option<bool>,
+        //     pub logprobs: Option<i32>,
+        //     pub echo: Option<bool>,
+        //     pub stop: Option<Vec<String, Global>>,
+        //     pub presence_penalty: Option<f32>,
+        //     pub frequency_penalty: Option<f32>,
+        //     pub best_of: Option<i32>,
+        //     pub logit_bias: Option<HashMap<String, i32, RandomState>>,
+        //     pub user: Option<String>,
+        // }
+        //
+        // ** no supported
+
+        if request.suffix.is_some() {
+            return Err(anyhow::anyhow!("suffix is not supported"));
+        }
+
+        let stop_conditions = request
+            .extract_stop_conditions()
+            .map_err(|e| anyhow::anyhow!("Failed to extract stop conditions: {}", e))?;
+
+        let sampling_options = request
+            .extract_sampling_options()
+            .map_err(|e| anyhow::anyhow!("Failed to extract sampling options: {}", e))?;
+
+        let prompt = common::PromptType::Completion(common::CompletionContext {
+            prompt: request.prompt,
+            system_prompt: None,
+        });
+
+        Ok(common::CompletionRequest {
+            prompt,
+            stop_conditions,
+            sampling_options,
+            mdc_sum: None,
+            annotations: None,
+        })
+    }
+}
+
+impl TryFrom<common::StreamingCompletionResponse> for CompletionChoice {
+    type Error = anyhow::Error;
+
+    fn try_from(response: common::StreamingCompletionResponse) -> Result<Self, Self::Error> {
+        let choice = CompletionChoice {
+            text: response
+                .delta
+                .text
+                .ok_or(anyhow::anyhow!("No text in response"))?,
+            index: response.delta.index.unwrap_or(0) as u64,
+            logprobs: None,
+            finish_reason: match &response.delta.finish_reason {
+                Some(common::FinishReason::EoS) => Some("stop".to_string()),
+                Some(common::FinishReason::Stop) => Some("stop".to_string()),
+                Some(common::FinishReason::Length) => Some("length".to_string()),
+                Some(common::FinishReason::Error(err_msg)) => {
+                    return Err(anyhow::anyhow!("finish_reason::error = {}", err_msg));
+                }
+                Some(common::FinishReason::Cancelled) => Some("cancelled".to_string()),
+                None => None,
+            },
+        };
+
+        Ok(choice)
+    }
+}

llm/rust/triton-llm/src/protocols/openai/completions/aggregator.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::{collections::HashMap, str::FromStr};
+
+use anyhow::Result;
+use futures::StreamExt;
+
+use super::{CompletionChoice, CompletionResponse, CompletionUsage, LogprobResult};
+use crate::protocols::{
+    codec::{Message, SseCodecError},
+    convert_sse_stream, Annotated, DataStream,
+};
+
+/// Aggregates a stream of [`CompletionResponse`]s into a single [`CompletionResponse`].
+pub struct DeltaAggregator {
+    id: String,
+    model: String,
+    created: u64,
+    usage: Option<CompletionUsage>,
+    system_fingerprint: Option<String>,
+    choices: HashMap<u64, DeltaChoice>,
+    error: Option<String>,
+}
+
+struct DeltaChoice {
+    index: u64,
+    text: String,
+    finish_reason: Option<crate::protocols::openai::chat_completions::FinishReason>,
+    logprobs: Option<LogprobResult>,
+}
+
+impl Default for DeltaAggregator {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+impl DeltaAggregator {
+    pub fn new() -> Self {
+        Self {
+            id: "".to_string(),
+            model: "".to_string(),
+            created: 0,
+            usage: None,
+            system_fingerprint: None,
+            choices: HashMap::new(),
+            error: None,
+        }
+    }
+
+    /// Aggregates a stream of [`Annotated<CompletionResponse>`]s into a single [`CompletionResponse`].
+    pub async fn apply(
+        stream: DataStream<Annotated<CompletionResponse>>,
+    ) -> Result<CompletionResponse> {
+        let aggregator = stream
+            .fold(DeltaAggregator::new(), |mut aggregator, delta| async move {
+                let delta = match delta.ok() {
+                    Ok(delta) => delta,
+                    Err(error) => {
+                        aggregator.error = Some(error);
+                        return aggregator;
+                    }
+                };
+
+                if aggregator.error.is_none() && delta.data.is_some() {
+                    // note: we could extract annotations here and add them to the aggregator
+                    // to be return as part of the NIM Response Extension
+                    // TODO(#14) - Aggregate Annotation
+
+                    // these are cheap to move so we do it every time since we are consuming the delta
+                    let delta = delta.data.unwrap();
+                    aggregator.id = delta.id;
+                    aggregator.model = delta.model;
+                    aggregator.created = delta.created;
+                    if let Some(usage) = delta.usage {
+                        aggregator.usage = Some(usage);
+                    }
+                    if let Some(system_fingerprint) = delta.system_fingerprint {
+                        aggregator.system_fingerprint = Some(system_fingerprint);
+                    }
+
+                    // handle the choices
+                    for choice in delta.choices {
+                        let state_choice =
+                            aggregator
+                                .choices
+                                .entry(choice.index)
+                                .or_insert(DeltaChoice {
+                                    index: choice.index,
+                                    text: "".to_string(),
+                                    finish_reason: None,
+                                    logprobs: choice.logprobs,
+                                });
+
+                        state_choice.text.push_str(&choice.text);
+
+                        // todo - handle logprobs
+
+                        if let Some(finish_reason) = choice.finish_reason {
+                            let reason =
+                                crate::protocols::openai::chat_completions::FinishReason::from_str(
+                                    &finish_reason,
+                                )
+                                .ok();
+                            state_choice.finish_reason = reason;
+                        }
+                    }
+                }
+                aggregator
+            })
+            .await;
+
+        // If we have an error, return it
+        let aggregator = if let Some(error) = aggregator.error {
+            return Err(anyhow::anyhow!(error));
+        } else {
+            aggregator
+        };
+
+        // extra the aggregated deltas and sort by index
+        let mut choices: Vec<_> = aggregator
+            .choices
+            .into_values()
+            .map(CompletionChoice::from)
+            .collect();
+
+        choices.sort_by(|a, b| a.index.cmp(&b.index));
+
+        Ok(CompletionResponse {
+            id: aggregator.id,
+            created: aggregator.created,
+            usage: aggregator.usage,
+            model: aggregator.model,
+            object: "completion".to_string(),
+            system_fingerprint: aggregator.system_fingerprint,
+            choices,
+        })
+    }
+}
+
+impl From<DeltaChoice> for CompletionChoice {
+    fn from(delta: DeltaChoice) -> Self {
+        let finish_reason = delta.finish_reason.map(|reason| reason.to_string());
+
+        CompletionChoice {
+            index: delta.index,
+            text: delta.text,
+            finish_reason,
+            logprobs: delta.logprobs,
+        }
+    }
+}
+
+impl CompletionResponse {
+    pub async fn from_sse_stream(
+        stream: DataStream<Result<Message, SseCodecError>>,
+    ) -> Result<CompletionResponse> {
+        let stream = convert_sse_stream::<CompletionResponse>(stream);
+        CompletionResponse::from_annotated_stream(stream).await
+    }
+
+    pub async fn from_annotated_stream(
+        stream: DataStream<Annotated<CompletionResponse>>,
+    ) -> Result<CompletionResponse> {
+        DeltaAggregator::apply(stream).await
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use crate::protocols::openai::completions::{CompletionChoice, CompletionResponse};
+
+    use super::*;
+    use futures::stream;
+
+    fn create_test_delta(
+        index: u64,
+        text: &str,
+        finish_reason: Option<String>,
+    ) -> Annotated<CompletionResponse> {
+        Annotated {
+            data: Some(CompletionResponse {
+                id: "test_id".to_string(),
+                model: "meta/llama-3.1-8b".to_string(),
+                created: 1234567890,
+                usage: None,
+                system_fingerprint: None,
+                choices: vec![CompletionChoice {
+                    index,
+                    text: text.to_string(),
+                    finish_reason,
+                    logprobs: None,
+                }],
+                object: "completion".to_string(),
+            }),
+            id: Some("test_id".to_string()),
+            event: None,
+            comment: None,
+        }
+    }
+
+    #[tokio::test]
+    async fn test_empty_stream() {
+        // Create an empty stream
+        let stream: DataStream<Annotated<CompletionResponse>> = Box::pin(stream::empty());
+
+        // Call DeltaAggregator::apply
+        let result = DeltaAggregator::apply(stream).await;
+
+        // Check the result
+        assert!(result.is_ok());
+        let response = result.unwrap();
+
+        // Verify that the response is empty and has default values
+        assert_eq!(response.id, "");
+        assert_eq!(response.model, "");
+        assert_eq!(response.created, 0);
+        assert!(response.usage.is_none());
+        assert!(response.system_fingerprint.is_none());
+        assert_eq!(response.choices.len(), 0);
+    }
+
+    #[tokio::test]
+    async fn test_single_delta() {
+        // Create a sample delta
+        let annotated_delta = create_test_delta(0, "Hello,", Some("length".to_string()));
+
+        // Create a stream
+        let stream = Box::pin(stream::iter(vec![annotated_delta]));
+
+        // Call DeltaAggregator::apply
+        let result = DeltaAggregator::apply(stream).await;
+
+        // Check the result
+        assert!(result.is_ok());
+        let response = result.unwrap();
+
+        // Verify the response fields
+        assert_eq!(response.id, "test_id");
+        assert_eq!(response.model, "meta/llama-3.1-8b");
+        assert_eq!(response.created, 1234567890);
+        assert!(response.usage.is_none());
+        assert!(response.system_fingerprint.is_none());
+        assert_eq!(response.choices.len(), 1);
+        let choice = &response.choices[0];
+        assert_eq!(choice.index, 0);
+        assert_eq!(choice.text, "Hello,".to_string());
+        assert_eq!(choice.finish_reason, Some("length".to_string()));
+        assert!(choice.logprobs.is_none());
+    }
+
+    #[tokio::test]
+    async fn test_multiple_deltas_same_choice() {
+        // Create multiple deltas with the same choice index
+        // One will have a MessageRole and no FinishReason,
+        // the other will have a FinishReason and no MessageRole
+        let annotated_delta1 = create_test_delta(0, "Hello,", None);
+        let annotated_delta2 = create_test_delta(0, " world!", Some("stop".to_string()));
+
+        // Create a stream
+        let annotated_deltas = vec![annotated_delta1, annotated_delta2];
+        let stream = Box::pin(stream::iter(annotated_deltas));
+
+        // Call DeltaAggregator::apply
+        let result = DeltaAggregator::apply(stream).await;
+
+        // Check the result
+        assert!(result.is_ok());
+        let response = result.unwrap();
+
+        // Verify the response fields
+        assert_eq!(response.choices.len(), 1);
+        let choice = &response.choices[0];
+        assert_eq!(choice.index, 0);
+        assert_eq!(choice.text, "Hello, world!".to_string());
+        assert_eq!(choice.finish_reason, Some("stop".to_string()));
+    }
+
+    #[tokio::test]
+    async fn test_multiple_choices() {
+        // Create a delta with multiple choices
+        let annotated_delta = Annotated {
+            data: Some(CompletionResponse {
+                id: "test_id".to_string(),
+                model: "meta/llama-3.1-8b".to_string(),
+                created: 1234567890,
+                usage: None,
+                system_fingerprint: None,
+                choices: vec![
+                    CompletionChoice {
+                        index: 0,
+                        text: "Choice 0".to_string(),
+                        finish_reason: Some("stop".to_string()),
+                        logprobs: None,
+                    },
+                    CompletionChoice {
+                        index: 1,
+                        text: "Choice 1".to_string(),
+                        finish_reason: Some("stop".to_string()),
+                        logprobs: None,
+                    },
+                ],
+                object: "completion".to_string(),
+            }),
+            id: Some("test_id".to_string()),
+            event: None,
+            comment: None,
+        };
+
+        // Create a stream
+        let stream = Box::pin(stream::iter(vec![annotated_delta]));
+
+        // Call DeltaAggregator::apply
+        let result = DeltaAggregator::apply(stream).await;
+
+        // Check the result
+        assert!(result.is_ok());
+        let mut response = result.unwrap();
+
+        // Verify the response fields
+        assert_eq!(response.choices.len(), 2);
+        response.choices.sort_by(|a, b| a.index.cmp(&b.index)); // Ensure the choices are ordered
+        let choice0 = &response.choices[0];
+        assert_eq!(choice0.index, 0);
+        assert_eq!(choice0.text, "Choice 0".to_string());
+        assert_eq!(choice0.finish_reason, Some("stop".to_string()));
+
+        let choice1 = &response.choices[1];
+        assert_eq!(choice1.index, 1);
+        assert_eq!(choice1.text, "Choice 1".to_string());
+        assert_eq!(choice1.finish_reason, Some("stop".to_string()));
+    }
+}

llm/rust/triton-llm/src/protocols/openai/completions/delta.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::{CompletionChoice, CompletionRequest, CompletionResponse};
+use crate::protocols::common;
+use crate::protocols::openai::CompletionUsage;
+
+impl CompletionRequest {
+    // put this method on the request
+    // inspect the request to extract options
+    pub fn response_generator(&self) -> DeltaGenerator {
+        let options = DeltaGeneratorOptions {
+            enable_usage: true,
+            enable_logprobs: false,
+        };
+
+        DeltaGenerator::new(self.model.clone(), options)
+    }
+}
+
+#[derive(Debug, Clone, Default)]
+pub struct DeltaGeneratorOptions {
+    pub enable_usage: bool,
+    pub enable_logprobs: bool,
+}
+
+#[derive(Debug, Clone)]
+pub struct DeltaGenerator {
+    id: String,
+    object: String,
+    created: u64,
+    model: String,
+    system_fingerprint: Option<String>,
+    usage: CompletionUsage,
+
+    options: DeltaGeneratorOptions,
+}
+
+impl DeltaGenerator {
+    pub fn new(model: String, options: DeltaGeneratorOptions) -> Self {
+        let now = std::time::SystemTime::now()
+            .duration_since(std::time::UNIX_EPOCH)
+            .unwrap()
+            .as_secs();
+
+        Self {
+            id: format!("cmpl-{}", uuid::Uuid::new_v4()),
+            object: "text_completion".to_string(),
+            created: now,
+            model,
+            system_fingerprint: None,
+            usage: CompletionUsage::default(),
+            options,
+        }
+    }
+
+    pub fn update_isl(&mut self, isl: i32) {
+        self.usage.prompt_tokens = isl;
+    }
+
+    pub fn create_choice(
+        &self,
+        index: u64,
+        text: Option<String>,
+        finish_reason: Option<String>,
+    ) -> CompletionResponse {
+        // todo - update for tool calling
+
+        CompletionResponse {
+            id: self.id.clone(),
+            object: self.object.clone(),
+            created: self.created,
+            model: self.model.clone(),
+            system_fingerprint: self.system_fingerprint.clone(),
+            choices: vec![CompletionChoice {
+                text: text.unwrap_or_default(),
+                index,
+                finish_reason,
+                logprobs: None,
+            }],
+            usage: if self.options.enable_usage {
+                Some(self.usage.clone())
+            } else {
+                None
+            },
+        }
+    }
+}
+
+impl crate::protocols::openai::DeltaGeneratorExt<CompletionResponse> for DeltaGenerator {
+    fn choice_from_postprocessor(
+        &mut self,
+        delta: common::llm_backend::BackendOutput,
+    ) -> anyhow::Result<CompletionResponse> {
+        // aggregate usage
+        if self.options.enable_usage {
+            self.usage.completion_tokens += delta.token_ids.len() as i32;
+        }
+
+        // todo logprobs
+
+        let finish_reason = match delta.finish_reason {
+            Some(common::FinishReason::EoS) => Some("stop".to_string()),
+            Some(common::FinishReason::Stop) => Some("stop".to_string()),
+            Some(common::FinishReason::Length) => Some("length".to_string()),
+            Some(common::FinishReason::Cancelled) => Some("cancelled".to_string()),
+            Some(common::FinishReason::Error(err_msg)) => {
+                return Err(anyhow::anyhow!(err_msg));
+            }
+            None => None,
+        };
+
+        // create choice
+        let index = 0;
+        Ok(self.create_choice(index, delta.text, finish_reason))
+    }
+}

llm/rust/triton-llm/src/protocols/openai/models.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 serde::{Deserialize, Serialize};
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct ModelInfo {
+    object: String, // "list"
+    data: Vec<ModelMetaData>,
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct ModelMetaData {
+    /// Model's ID - must be unique
+    id: String,
+
+    /// Always "model"
+    object: String, // "model"
+
+    /// Unix timestamp of when the model was created
+    /// See <https://en.wikipedia.org/wiki/Unix_time>
+    created: u64,
+
+    /// Name of user or group that owns the model
+    /// Defaults to "skynet" if not provided
+    owned_by: String,
+
+    /// Per-Org permissions
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    permission: Option<Vec<Permission>>,
+
+    // TODO(#30): docstring needed
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    root: Option<String>,
+
+    // TODO(#30): docstring needed
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    parent: Option<String>,
+}
+
+#[derive(Serialize, Deserialize, Debug, Clone)]
+pub struct Permission {
+    /// Unique identifier for the permission
+    /// Example: modelperm-8ca99ea29964429ab51e968892b2b708"
+    id: String,
+
+    /// Always "model_permission"
+    object: String, // "model_permission"
+
+    /// Unix timestamp of when the permission was created
+    /// See <https://en.wikipedia.org/wiki/Unix_time>
+    created: u64,
+
+    /// Name of the organization for which the permission is applicable
+    organization: String,
+
+    /// The name of the group that this permission belongs to
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    group: Option<String>,
+
+    /// Whether the organization can create engines with this model
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    allow_create_engine: Option<bool>,
+
+    /// Whether the organization can perform sampling/inference with this model
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    allow_sampling: Option<bool>,
+
+    /// Whether the organization can request log probabilities for model outputs
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    allow_logprobs: Option<bool>,
+
+    /// Whether the organization can perform search operations with this model
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    allow_search_indices: Option<bool>,
+
+    /// Whether the organization can view this model
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    allow_view: Option<bool>,
+
+    /// Whether the organization can fine-tune this model
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    allow_fine_tuning: Option<bool>,
+
+    /// Whether this permission blocks access to the model
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    is_blocking: Option<bool>,
+}

llm/rust/triton-llm/src/protocols/openai/nvext.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 derive_builder::Builder;
+use serde::{Deserialize, Serialize};
+use validator::{Validate, ValidationError};
+
+pub trait NvExtProvider {
+    fn nvext(&self) -> Option<&NvExt>;
+    fn raw_prompt(&self) -> Option<String>;
+}
+
+/// NVIDIA LLM extensions to the OpenAI API
+#[derive(Serialize, Deserialize, Builder, Validate, Debug, Clone)]
+#[validate(schema(function = "validate_nv_ext"))]
+pub struct NvExt {
+    /// If true, the model will ignore the end of string token and generate to max_tokens.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(strip_option))]
+    pub ignore_eos: Option<bool>,
+
+    #[builder(default, setter(strip_option))] // NIM LLM might default to -1
+    #[validate(custom(function = "validate_top_k"))]
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    pub top_k: Option<i64>,
+
+    /// How much to penalize tokens based on how frequently they occur in the text.
+    /// A value of 1 means no penalty, while values larger than 1 discourage and values smaller encourage.
+    #[builder(default, setter(strip_option))]
+    #[validate(range(exclusive_min = 0.0, max = 2.0))]
+    pub repetition_penalty: Option<f64>,
+
+    /// If true, sampling will be forced to be greedy.
+    /// The backend is responsible for selecting the correct backend-specific options to
+    /// implement this.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(strip_option))]
+    pub greed_sampling: Option<bool>,
+
+    /// If true, the preproessor will try to bypass the prompt template and pass the prompt directly to
+    /// to the tokenizer.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(strip_option))]
+    pub use_raw_prompt: Option<bool>,
+
+    /// Annotations
+    /// User requests triggers which result in the request issue back out-of-band information in the SSE
+    /// stream using the `event:` field.
+    #[serde(default, skip_serializing_if = "Option::is_none")]
+    #[builder(default, setter(strip_option))]
+    pub annotations: Option<Vec<String>>,
+}
+
+impl Default for NvExt {
+    fn default() -> Self {
+        NvExt::builder().build().unwrap()
+    }
+}
+
+impl NvExt {
+    pub fn builder() -> NvExtBuilder {
+        NvExtBuilder::default()
+    }
+}
+
+fn validate_nv_ext(_nv_ext: &NvExt) -> Result<(), ValidationError> {
+    Ok(())
+}
+
+fn validate_top_k(top_k: i64) -> Result<(), ValidationError> {
+    if top_k == -1 || (top_k >= 1) {
+        return Ok(());
+    }
+    let mut error = ValidationError::new("top_k");
+    error.message = Some("top_k must be -1 or greater than or equal to 1".into());
+    Err(error)
+}
+
+impl NvExtBuilder {
+    pub fn add_annotation(&mut self, annotation: impl Into<String>) -> &mut Self {
+        self.annotations
+            .get_or_insert_with(|| Some(vec![]))
+            .as_mut()
+            .expect("stop should always be Some(Vec)")
+            .push(annotation.into());
+        self
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use proptest::prelude::*;
+    use validator::Validate;
+
+    use super::*;
+
+    // Test default builder configuration
+    #[test]
+    fn test_nv_ext_builder_default() {
+        let nv_ext = NvExt::builder().build().unwrap();
+        assert_eq!(nv_ext.ignore_eos, None);
+        assert_eq!(nv_ext.top_k, None);
+        assert_eq!(nv_ext.repetition_penalty, None);
+        assert_eq!(nv_ext.greed_sampling, None);
+    }
+
+    // Test valid builder configurations
+    #[test]
+    fn test_nv_ext_builder_custom() {
+        let nv_ext = NvExt::builder()
+            .ignore_eos(true)
+            .top_k(10)
+            .repetition_penalty(1.5)
+            .greed_sampling(true)
+            .build()
+            .unwrap();
+
+        assert_eq!(nv_ext.ignore_eos, Some(true));
+        assert_eq!(nv_ext.top_k, Some(10));
+        assert_eq!(nv_ext.repetition_penalty, Some(1.5));
+        assert_eq!(nv_ext.greed_sampling, Some(true));
+
+        // Validate the built struct
+        assert!(nv_ext.validate().is_ok());
+    }
+
+    // Test invalid `top_k` validation using proptest
+    proptest! {
+        #[test]
+        fn test_invalid_top_k_value(top_k in any::<i64>().prop_filter("Invalid top_k", |&k| k < -1 || (k > 0 && k < 1))) {
+            let nv_ext = NvExt::builder()
+                .top_k(top_k)
+                .build()
+                .unwrap();
+
+            let validation_result = nv_ext.validate();
+            assert!(validation_result.is_err(), "top_k should fail validation if less than -1 or in the invalid range 0 < top_k < 1");
+        }
+    }
+
+    // Test valid `top_k` values
+    #[test]
+    fn test_valid_top_k_values() {
+        let nv_ext = NvExt::builder().top_k(-1).build().unwrap();
+        assert!(nv_ext.validate().is_ok());
+
+        let nv_ext = NvExt::builder().top_k(1).build().unwrap();
+        assert!(nv_ext.validate().is_ok());
+
+        let nv_ext = NvExt::builder().top_k(10).build().unwrap();
+        assert!(nv_ext.validate().is_ok());
+    }
+
+    // Test valid repetition_penalty values
+    proptest! {
+        #[test]
+        fn test_valid_repetition_penalty_values(repetition_penalty in 0.01f64..=2.0f64) {
+            let nv_ext = NvExt::builder()
+                .repetition_penalty(repetition_penalty)
+                .build()
+                .unwrap();
+
+            let validation_result = nv_ext.validate();
+            assert!(validation_result.is_ok(), "repetition_penalty should be valid within the range (0, 2]");
+        }
+    }
+
+    // Test invalid repetition_penalty values
+    proptest! {
+        #[test]
+        fn test_invalid_repetition_penalty_values(repetition_penalty in -10.0f64..0.0f64) {
+            let nv_ext = NvExt::builder()
+                .repetition_penalty(repetition_penalty)
+                .build()
+                .unwrap();
+
+            let validation_result = nv_ext.validate();
+            assert!(validation_result.is_err(), "repetition_penalty should fail validation when outside the range (0, 2]");
+        }
+    }
+}

llm/rust/triton-llm/src/types.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 crate::protocols;
+
+pub use protocols::{Annotated, TokenIdType};
+
+pub mod openai {
+    use super::*;
+    use triton_distributed::pipeline::{ServerStreamingEngine, UnaryEngine};
+
+    pub mod completions {
+        use super::*;
+
+        pub use protocols::openai::completions::{CompletionRequest, CompletionResponse};
+
+        /// A [`UnaryEngine`] implementation for the OpenAI Completions API
+        pub type OpenAICompletionsUnaryEngine = UnaryEngine<CompletionRequest, CompletionResponse>;
+
+        /// A [`ServerStreamingEngine`] implementation for the OpenAI Completions API
+        pub type OpenAICompletionsStreamingEngine =
+            ServerStreamingEngine<CompletionRequest, Annotated<CompletionResponse>>;
+    }
+
+    pub mod chat_completions {
+        use super::*;
+
+        pub use protocols::openai::chat_completions::{
+            ChatCompletionRequest, ChatCompletionResponse, ChatCompletionResponseDelta,
+        };
+
+        /// A [`UnaryEngine`] implementation for the OpenAI Chat Completions API
+        pub type OpenAIChatCompletionsUnaryEngine =
+            UnaryEngine<ChatCompletionRequest, ChatCompletionResponse>;
+
+        /// A [`ServerStreamingEngine`] implementation for the OpenAI Chat Completions API
+        pub type OpenAIChatCompletionsStreamingEngine =
+            ServerStreamingEngine<ChatCompletionRequest, Annotated<ChatCompletionResponseDelta>>;
+    }
+}

llm/rust/triton-llm/tests/aggregators.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 futures::StreamExt;
+use triton_llm::protocols::{
+    codec::{create_message_stream, Message, SseCodecError},
+    openai::{chat_completions::ChatCompletionResponse, completions::CompletionResponse},
+    ContentProvider, DataStream,
+};
+
+const CMPL_ROOT_PATH: &str = "tests/data/replays/meta/llama-3.1-8b-instruct/completions";
+const CHAT_ROOT_PATH: &str = "tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions";
+
+fn create_stream(root_path: &str, file_name: &str) -> DataStream<Result<Message, SseCodecError>> {
+    let data = std::fs::read_to_string(format!("{}/{}", root_path, file_name)).unwrap();
+    create_message_stream(&data)
+}
+
+#[tokio::test]
+async fn test_openai_chat_stream() {
+    let data = std::fs::read_to_string("tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions/chat-completion.streaming.1").unwrap();
+
+    // note: we are only taking the first 16 messages to keep the size of the response small
+    let stream = create_message_stream(&data).take(16);
+    let result = ChatCompletionResponse::from_sse_stream(Box::pin(stream))
+        .await
+        .unwrap();
+
+    // todo: provide a cleaner way to extract the content from choices
+    assert_eq!(
+        result.choices.first().unwrap().content(),
+        "Deep learning is a subfield of machine learning that involves the use of artificial"
+    );
+}
+
+#[tokio::test]
+async fn test_openai_chat_edge_case_multi_line_data() {
+    let stream = create_stream(CHAT_ROOT_PATH, "edge_cases/valid-multi-line-data");
+    let result = ChatCompletionResponse::from_sse_stream(Box::pin(stream))
+        .await
+        .unwrap();
+
+    assert_eq!(result.choices.first().unwrap().content(), "Deep learning");
+}
+
+#[tokio::test]
+async fn test_openai_chat_edge_case_comments_per_response() {
+    let stream = create_stream(CHAT_ROOT_PATH, "edge_cases/valid-comments_per_response");
+    let result = ChatCompletionResponse::from_sse_stream(Box::pin(stream))
+        .await
+        .unwrap();
+
+    assert_eq!(result.choices.first().unwrap().content(), "Deep learning");
+}
+
+#[tokio::test]
+async fn test_openai_chat_edge_case_invalid_deserialize_error() {
+    let stream = create_stream(CHAT_ROOT_PATH, "edge_cases/invalid-deserialize_error");
+    let result = ChatCompletionResponse::from_sse_stream(Box::pin(stream)).await;
+
+    assert!(result.is_err());
+    // insta::assert_debug_snapshot!(result);
+}
+
+// =============================
+// Completions (/v1/completions)
+// =============================
+
+#[tokio::test]
+async fn test_openai_cmpl_stream() {
+    let stream = create_stream(CMPL_ROOT_PATH, "completion.streaming.1").take(16);
+    let result = CompletionResponse::from_sse_stream(Box::pin(stream))
+        .await
+        .unwrap();
+
+    // todo: provide a cleaner way to extract the content from choices
+    assert_eq!(
+        result.choices.first().unwrap().content(),
+        " This is a question that is often asked by those outside of AI research and development"
+    );
+}

llm/rust/triton-llm/tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions/chat-completion.streaming.1

+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":"assistant","content":null},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"Deep"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" learning"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" is"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" a"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" sub"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"field"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" of"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" machine"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" learning"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" that"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" involves"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" the"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" use"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" of"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" artificial"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" neural"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" networks"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" with"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" multiple"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" layers"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" to"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" analyze"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" interpret"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" data"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"."},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" These"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" neural"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" networks"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" are"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" designed"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" to"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" mimic"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" the"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" structure"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" function"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" of"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" the"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" human"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" brain"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":","},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" with"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" multiple"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" layers"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" of"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" interconnected"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" nodes"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" or"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" \""},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"ne"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"urons"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"\""},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" that"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" process"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" transmit"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" information"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":".\n\n"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"In"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" traditional"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" machine"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" learning"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":","},"logprobs":null,"finish_reason":"length","stop_reason":null}]}
+
+data: [DONE]
+

llm/rust/triton-llm/tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions/chat-completion.streaming.2

+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":"assistant","content":null},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"There"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" once"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" was"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" a"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" GPU"},"logprobs":null,"finish_reason":null}]}
+
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+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" fine"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":",\n"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"It"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" computed"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" with"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" speed"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" design"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-15d1db1bde1b48cb9a4f2220cfb8faa9","object":"chat.completion.chunk","created":1728449849,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":".\n"},"logprobs":null,"finish_reason":null}]}
+
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+
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+
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+
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+
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+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" the"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Phoenix"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":",\""},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" \""},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"Harry"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Potter"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" the"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Half"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"-B"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"lood"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Prince"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":",\""},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" \""},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"Harry"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Potter"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" the"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Death"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"ly"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Hall"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"ows"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" –"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Part"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" "},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"2"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":".\"\n\n"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"Overall"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":","},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" Dumbledore"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" is"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" a"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" rich"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" complex"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" character"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":","},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" whose"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" wisdom"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":","},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" compassion"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":","},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" courage"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" inspire"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" and"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" capt"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"ivate"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" audiences"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" worldwide"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"."},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-5a8b1dffc4ec46a493c93be6ec0154cb","object":"chat.completion.chunk","created":1728450240,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":""},"logprobs":null,"finish_reason":"stop","stop_reason":null}]}
+
+data: [DONE]
+

llm/rust/triton-llm/tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions/edge_cases/invalid-deserialize_error

+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":"assistant","content":null},"logprobs":null,"finish_reason":null}]}
+
+data: {"foo":"chat-06857e1c859247c38a73fdb559b8dfdb","bar":"chat.completion.chunk","baz":1728365454,"barf":"meta/llama-3.1-8b-instruct","bonk":[{"index":0,"delta":{"role":null,"content":"Deep"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" learning"},"logprobs":null,"finish_reason":null}]}
+
+data: [DATA]
+

llm/rust/triton-llm/tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions/edge_cases/valid

+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":"assistant","content":null},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"Deep"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" learning"},"logprobs":null,"finish_reason":null}]}
+
+data: [DATA]
+

llm/rust/triton-llm/tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions/edge_cases/valid-comments_per_response

+: comment before
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":"assistant","content":null},"logprobs":null,"finish_reason":null}]}
+: comment after
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":"Deep"},"logprobs":null,"finish_reason":null}]}
+: just after
+
+: just before
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" learning"},"logprobs":null,"finish_reason":null}]}
+
+data: [DONE]

llm/rust/triton-llm/tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions/edge_cases/valid-multi-line-data

+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":"assistant","content":null},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb",
+data: "object":"chat.completion.chunk",
+data: "created":1728365454,
+data: "model":"meta/llama-3.1-8b-instruct",
+data: "choices":[{"index":0,"delta":{"role":null,"content":"Deep"},"logprobs":null,"finish_reason":null}]}
+
+data: {"id":"chat-06857e1c859247c38a73fdb559b8dfdb","object":"chat.completion.chunk","created":1728365454,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"delta":{"role":null,"content":" learning"},"logprobs":null,"finish_reason":null}]}
+
+data: [DONE]
+

llm/rust/triton-llm/tests/data/replays/meta/llama-3.1-8b-instruct/chat_completions/replay.yaml

+# 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.
+
+- model_name: meta/llama-3.1-8b-instruct
+  file_path: chat-completion.streaming.1
+  query: What is deep learning?
+  query_type: ChatCompletionsStreaming
+
+- model_name: meta/llama-3.1-8b-instruct
+  file_path: chat-completion.streaming.2
+  query: Write a limerick about the wonders of GPU computing.
+  query_type: ChatCompletionsStreaming
+
+- model_name: meta/llama-3.1-8b-instruct
+  file_path: chat-completion.streaming.3
+  query: Tell me about Dumbledore.
+  query_type: ChatCompletionsStreaming

llm/rust/triton-llm/tests/data/replays/meta/llama-3.1-8b-instruct/completions/completion.streaming.1

+data: {"id":"cmpl-67f024f082974bb68147a0183bc92cd7","object":"text_completion","created":1729923359,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"text":" This","logprobs":null,"finish_reason":null,"stop_reason":null}],"usage":null}
+
+data: {"id":"cmpl-67f024f082974bb68147a0183bc92cd7","object":"text_completion","created":1729923359,"model":"meta/llama-3.1-8b-instruct","choices":[{"index":0,"text":" is","logprobs":null,"finish_reason":null,"stop_reason":null}],"usage":null}
+
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