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@JunyiXu-nv JunyiXu-nv commented Sep 8, 2025

Summary by CodeRabbit

  • New Features

    • Added OpenAI-compatible Responses API (/v1/responses) with streaming/non‑streaming output, reasoning support, tool calls, configurable sampling, and optional response storage with conversation chaining.
    • Enhanced chat completions with stateful, tool‑aware streaming, improved usage reporting, and reasoning effort control.
    • Introduced per‑request state inspection for easier debugging.
  • Refactor

    • Unified Harmony adapter initialization and switched to a batch-based streaming pipeline with new post‑processing handlers.
  • Tests

    • Added comprehensive unit/integration tests for Responses API, streaming (incl. tool calls), multi‑turn chat, and post‑process worker configurations.

Description

This PR includes:

  1. Cherry-pick Responses API PR: [TRTLLM-7208][feat] Implement basic functionalities for Responses API #7341
  2. Cherry-pick multiple post process workers for chat harmony PR: [TRTLLM-7779][feat] Support multiple postprocess workers for chat completions API #7508
  3. Enable multiple post process workers tests for chat harmony.

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Reviewing files that changed from the base of the PR and between 9938f4f and ca68f6c.

📒 Files selected for processing (9)
  • tensorrt_llm/serve/harmony_adapter.py (10 hunks)
  • tensorrt_llm/serve/openai_protocol.py (2 hunks)
  • tensorrt_llm/serve/openai_server.py (7 hunks)
  • tensorrt_llm/serve/postprocess_handlers.py (12 hunks)
  • tensorrt_llm/serve/responses_utils.py (1 hunks)
  • tests/integration/defs/test_e2e.py (1 hunks)
  • tests/integration/test_lists/test-db/l0_h100.yml (1 hunks)
  • tests/unittest/llmapi/apps/_test_openai_chat_harmony.py (3 hunks)
  • tests/unittest/llmapi/apps/_test_openai_responses.py (1 hunks)
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  • tensorrt_llm/serve/responses_utils.py
  • tensorrt_llm/serve/openai_server.py
  • tests/unittest/llmapi/apps/_test_openai_responses.py
  • tensorrt_llm/serve/harmony_adapter.py
  • tensorrt_llm/serve/postprocess_handlers.py
  • tensorrt_llm/serve/openai_protocol.py
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Files:

  • tests/integration/defs/test_e2e.py
  • tests/unittest/llmapi/apps/_test_openai_chat_harmony.py
  • tensorrt_llm/serve/responses_utils.py
  • tensorrt_llm/serve/openai_server.py
  • tests/unittest/llmapi/apps/_test_openai_responses.py
  • tensorrt_llm/serve/harmony_adapter.py
  • tensorrt_llm/serve/postprocess_handlers.py
  • tensorrt_llm/serve/openai_protocol.py
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  • tests/unittest/llmapi/apps/_test_openai_chat_harmony.py
  • tensorrt_llm/serve/responses_utils.py
  • tensorrt_llm/serve/openai_server.py
  • tests/unittest/llmapi/apps/_test_openai_responses.py
  • tensorrt_llm/serve/harmony_adapter.py
  • tensorrt_llm/serve/postprocess_handlers.py
  • tensorrt_llm/serve/openai_protocol.py
🧠 Learnings (1)
📚 Learning: 2025-07-28T17:06:08.621Z
Learnt from: moraxu
PR: NVIDIA/TensorRT-LLM#6303
File: tests/integration/test_lists/qa/examples_test_list.txt:494-494
Timestamp: 2025-07-28T17:06:08.621Z
Learning: In TensorRT-LLM testing, it's common to have both CLI flow tests (test_cli_flow.py) and PyTorch API tests (test_llm_api_pytorch.py) for the same model. These serve different purposes: CLI flow tests validate the traditional command-line workflow, while PyTorch API tests validate the newer LLM API backend. Both are legitimate and should coexist.

Applied to files:

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🧬 Code graph analysis (7)
tests/integration/defs/test_e2e.py (1)
tests/integration/defs/conftest.py (4)
  • llm_root (180-181)
  • llm_venv (707-723)
  • test_root (2189-2190)
  • unittest_path (90-91)
tensorrt_llm/serve/responses_utils.py (3)
tensorrt_llm/llmapi/llm.py (1)
  • RequestOutput (46-86)
tensorrt_llm/serve/openai_protocol.py (7)
  • OpenAIBaseModel (59-61)
  • ResponsesRequest (680-782)
  • ResponsesResponse (801-866)
  • to_sampling_params (267-309)
  • to_sampling_params (597-638)
  • to_sampling_params (730-766)
  • from_request (831-866)
tensorrt_llm/serve/harmony_adapter.py (4)
  • get_stop_tokens (363-369)
  • stateful_stream_harmony_tokens_to_openai_messages (1260-1294)
  • get_stream_state (360-361)
  • get_parser (82-83)
tensorrt_llm/serve/openai_server.py (5)
tensorrt_llm/serve/openai_protocol.py (2)
  • ResponsesRequest (680-782)
  • from_request (831-866)
tensorrt_llm/serve/postprocess_handlers.py (5)
  • ChatCompletionPostprocArgs (385-398)
  • CompletionPostprocArgs (274-291)
  • from_request (49-60)
  • from_request (284-291)
  • from_request (393-398)
tensorrt_llm/serve/responses_utils.py (5)
  • ConversationHistoryStore (141-281)
  • create_response (551-608)
  • process_streaming_events (611-848)
  • request_preprocess (506-548)
  • load_response (156-159)
tensorrt_llm/serve/harmony_adapter.py (2)
  • HarmonyAdapter (318-1485)
  • get_harmony_adapter (1491-1496)
tensorrt_llm/executor/postproc_worker.py (1)
  • PostprocParams (37-39)
tests/unittest/llmapi/apps/_test_openai_responses.py (1)
tests/unittest/llmapi/apps/_test_openai_chat_structural_tag.py (1)
  • tool_get_current_weather (56-87)
tensorrt_llm/serve/harmony_adapter.py (3)
tensorrt_llm/serve/openai_protocol.py (8)
  • ChatCompletionResponse (431-440)
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  • ChatCompletionResponseStreamChoice (452-458)
  • ChatCompletionStreamResponse (461-467)
  • ChatCompletionToolsParam (476-478)
  • ChatMessage (358-363)
  • DeltaMessage (443-449)
  • UsageInfo (69-72)
tensorrt_llm/executor/result.py (1)
  • token_ids_diff (140-141)
tensorrt_llm/logger.py (2)
  • error (125-126)
  • debug (143-144)
tensorrt_llm/serve/postprocess_handlers.py (3)
tensorrt_llm/serve/harmony_adapter.py (2)
  • handle_non_streaming_response (1584-1634)
  • handle_streaming_response (1499-1581)
tensorrt_llm/executor/result.py (5)
  • logprobs_diff (144-145)
  • token_ids_diff (140-141)
  • length (132-133)
  • outputs (197-212)
  • request_id (521-522)
tensorrt_llm/serve/openai_protocol.py (13)
  • ChatCompletionResponseStreamChoice (452-458)
  • UsageInfo (69-72)
  • ChatCompletionStreamResponse (461-467)
  • ChatCompletionResponse (431-440)
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  • ChatMessage (358-363)
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  • CompletionResponse (143-152)
  • CompletionResponseChoice (124-140)
  • ChatCompletionToolsParam (476-478)
tensorrt_llm/serve/openai_protocol.py (1)
tensorrt_llm/sampling_params.py (2)
  • SamplingParams (125-486)
  • GuidedDecodingParams (14-36)
🪛 Ruff (0.12.2)
tests/integration/defs/test_e2e.py

1516-1516: Unused function argument: llm_root

(ARG001)

tensorrt_llm/serve/responses_utils.py

88-88: f-string without any placeholders

Remove extraneous f prefix

(F541)


122-122: Avoid specifying long messages outside the exception class

(TRY003)


128-128: Use of assert detected

(S101)


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Replace with None; initialize within function

(B006)


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(S101)


236-236: f-string without any placeholders

Remove extraneous f prefix

(F541)


322-322: Avoid specifying long messages outside the exception class

(TRY003)


344-344: Do not use mutable data structures for argument defaults

Replace with None; initialize within function

(B006)


408-408: Avoid specifying long messages outside the exception class

(TRY003)


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(TRY003)


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488-488: Avoid specifying long messages outside the exception class

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503-503: Avoid specifying long messages outside the exception class

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513-513: Value being cast to int is already an integer

Remove unnecessary int call

(RUF046)


529-529: f-string without any placeholders

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(F541)


559-559: PEP 484 prohibits implicit Optional

Convert to Optional[T]

(RUF013)


573-573: Avoid specifying long messages outside the exception class

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618-618: PEP 484 prohibits implicit Optional

Convert to Optional[T]

(RUF013)


673-673: Use of assert detected

(S101)

tensorrt_llm/serve/openai_server.py

803-803: Store a reference to the return value of asyncio.create_task

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(BLE001)


835-835: Abstract raise to an inner function

(TRY301)


867-867: Store a reference to the return value of asyncio.create_task

(RUF006)


887-887: Do not catch blind exception: Exception

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tests/unittest/llmapi/apps/_test_openai_responses.py

40-40: Use of assert detected

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121-121: Unused function argument: location

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tensorrt_llm/serve/harmony_adapter.py

157-157: Loop control variable tool_id not used within loop body

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1574-1574: Consider moving this statement to an else block

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tensorrt_llm/serve/openai_protocol.py

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📝 Walkthrough

Walkthrough

Introduces a stateful Harmony adapter singleton, remodels streaming into batch returns, adds tool-aware processing and usage computation, and implements an OpenAI-compatible Responses API (request model, response models, streaming events, persistence). Refactors server routing to expose /v1/responses, adds post-processing handlers, a conversation history store, and comprehensive unit/integration tests.

Changes

Cohort / File(s) Summary
Harmony adapter refactor
tensorrt_llm/serve/harmony_adapter.py
Adds module-level singleton (get_harmony_adapter), switches streaming to non-async batch handler, introduces per-request state inspection, tool filtering, reasoning effort mapping, usage calculation, and stateful token-to-message accumulation APIs. Public method additions on HarmonyAdapter and HarmonyStreamState.
OpenAI protocol: Responses API models
tensorrt_llm/serve/openai_protocol.py
Adds Responses API types: request/response/streaming models, usage details, validators, and to_sampling_params. New TypeAlias for mixed input items; integrates guided decoding and sampling params.
Server: route + wiring
tensorrt_llm/serve/openai_server.py
Adds /v1/responses endpoint with storage toggle, integrates conversation store, request preprocessing, streaming event processing, and response creation. Refactors Harmony path to use singleton and post-processors.
Post-processing handlers
tensorrt_llm/serve/postprocess_handlers.py
Adds ChatCompletionPostprocArgs and Harmony post-processors for streaming/non-streaming delegating to new adapter handlers; minor formatting changes elsewhere.
Responses utilities
tensorrt_llm/serve/responses_utils.py
New module: encoding helpers, input parsing, message construction, token rendering/parsing, output translation, finish reason mapping, conversation history store, preprocessing, response creation, and streaming event generation.
Integration tests
tests/integration/defs/test_e2e.py, tests/integration/test_lists/test-db/l0_h100.yml
Adds test_openai_responses e2e and registers it in test list.
Unit tests: chat harmony
tests/unittest/llmapi/apps/_test_openai_chat_harmony.py
Adds param for post-process workers; server fixture updated to pass worker count; streaming tests skip empty final usage-only chunks.
Unit tests: responses API
tests/unittest/llmapi/apps/_test_openai_responses.py
New suite covering reasoning, effort levels, chat, multi-turn with previous_response_id, tool calls, streaming, and streaming with tools; includes helper assertions and a mock tool implementation.

Sequence Diagram(s)

sequenceDiagram
  autonumber
  participant Client
  participant OpenAIServer as OpenAIServer (/v1/responses)
  participant ResponsesUtils as responses_utils
  participant Harmony as HarmonyAdapter (singleton)

  Client->>OpenAIServer: POST /v1/responses (ResponsesRequest)
  OpenAIServer->>ResponsesUtils: request_preprocess(request, prev_response, adapter, store, enable_store)
  ResponsesUtils->>Harmony: construct_harmony_messages + render_for_completion
  ResponsesUtils-->>OpenAIServer: sampling_params, inputs, prev_msgs
  OpenAIServer->>Harmony: generate(inputs, sampling_params, _postproc_params)
  Harmony-->>OpenAIServer: generation_result (non-streaming)
  OpenAIServer->>ResponsesUtils: create_response(generator=None, request, sampling_params, model, store, generation_result)
  ResponsesUtils-->>OpenAIServer: ResponsesResponse
  OpenAIServer-->>Client: 200 OK JSON (ResponsesResponse)
  note over OpenAIServer,Harmony: Non-streaming flow
Loading
sequenceDiagram
  autonumber
  participant Client
  participant OpenAIServer as OpenAIServer (/v1/responses?stream=true)
  participant ResponsesUtils as responses_utils
  participant Harmony as HarmonyAdapter (singleton)
  participant SSE as SSE Stream

  Client->>OpenAIServer: POST /v1/responses (stream=true)
  OpenAIServer->>ResponsesUtils: request_preprocess(...)
  ResponsesUtils-->>OpenAIServer: sampling_params, inputs
  OpenAIServer->>Harmony: create_streaming_generator(inputs, sampling_params, _postproc_params)
  OpenAIServer->>ResponsesUtils: process_streaming_events(request, sampling_params, generator, adapter, model, store)
  loop streaming batches
    ResponsesUtils-->>SSE: event: response.created / in_progress / deltas
    Harmony-->>ResponsesUtils: token batches, finish_reason
  end
  ResponsesUtils-->>SSE: event: response.completed (+final, usage)
  SSE-->>Client: SSE stream ends
  note over ResponsesUtils: Emits reasoning/text/tool call deltas and final payload
Loading

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LGTM

@JunyiXu-nv JunyiXu-nv enabled auto-merge (squash) September 8, 2025 09:48
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/bot run --disable-fail-fast

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@litaotju litaotju added the Release Blocker PRs that blocking the final release build or branching out the release branch label Sep 9, 2025
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litaotju commented Sep 9, 2025

@litaotju litaotju disabled auto-merge September 9, 2025 11:28
@litaotju litaotju merged commit ac0df0a into NVIDIA:release/1.1.0rc2 Sep 9, 2025
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