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@arekay-nv arekay-nv commented Nov 24, 2025

Summary by CodeRabbit

  • Bug Fixes
    • Enhanced reliability of streaming generation responses with automatic retry logic for transient connection failures.
    • Improved error messages to include token count information for better debugging.
    • Refined error handling to gracefully manage connection interruptions during token streaming.

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Description

In disaggregated serving, the generation server may close the connection during token generation which was not being handled correctly. The current PR makes the error more verbose. It also adds a retry mechanism but the retry is only triggered if no tokens have been yielded. Retrying after tokens have been yielded will cause the generation phase to restart returning duplicate tokens.
A better approach would be to issue a retry but skip the first n-tokens which were yielded in the failed phase, however that will have performance impact and may mask performance issues for debugging/performance tuning.

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  • Please check this after reviewing the above items as appropriate for this PR.

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Signed-off-by: Rashid Kaleem <[email protected]>
@arekay-nv arekay-nv requested a review from a team as a code owner November 24, 2025 19:00
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📝 Walkthrough

Walkthrough

Adds retry logic to the streaming generation path in merge_streaming_responses with error handling for client connectivity issues. Retries occur only when no tokens have been yielded and retry limit remains; failures raise HTTPException with status 500 including token count details. Improves error message formatting with actual type names.

Changes

Cohort / File(s) Summary
Streaming retry and error handling
tensorrt_llm/serve/openai_disagg_server.py
Wraps generation streaming path with retry loop (max_retries + 1 attempts). Retries on aiohttp.ClientError or OSError only when no tokens yielded and retry limit not reached. Raises HTTPException(500) on failure with token count in message. Improves TypeError formatting with actual gen_req type name.

Sequence Diagram

sequenceDiagram
    participant Client
    participant Server
    participant Backend
    
    rect rgb(200, 220, 255)
    Note over Server: Retry Loop (max_retries + 1)
    end
    
    loop Each Attempt
        Server->>+Backend: Stream generation request
        
        alt Success Path
            Backend-->>Server: Token chunks
            rect rgb(200, 255, 200)
            Note over Server: Stream chunks to client<br/>Update metrics
            end
            Server->>Client: Yield tokens
        else Client Connection Error
            Backend--X Server: aiohttp.ClientError / OSError
            
            alt Tokens Already Yielded
                rect rgb(255, 220, 200)
                Note over Server: Raise HTTPException(500)<br/>Include token count
                end
                Server->>Client: HTTPException
            else No Tokens Yielded & Retries Left
                rect rgb(255, 250, 200)
                Note over Server: Retry attempt
                end
            else No Tokens Yielded & Retries Exhausted
                rect rgb(255, 220, 200)
                Note over Server: Raise HTTPException(500)<br/>Include token count
                end
                Server->>Client: HTTPException
            end
        end
    end
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Estimated code review effort

🎯 2 (Simple) | ⏱️ ~12 minutes

  • Core change is a localized retry wrapper around existing streaming logic with clear error boundaries
  • Error handling follows standard patterns (retry-on-transient, fail-on-permanent)
  • Single file modification with no API signature changes

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (2 passed)
Check name Status Explanation
Title check ✅ Passed Title follows the required format [NVBugs ID][type] and clearly references the bug being fixed, making the primary change evident.
Description check ✅ Passed Description explains the issue and solution, though the Test Coverage section is empty and the PR checklist items remain unchecked.
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Actionable comments posted: 2

📜 Review details

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Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 336593c and d538721.

📒 Files selected for processing (1)
  • tensorrt_llm/serve/openai_disagg_server.py (1 hunks)
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**/*.py

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  • tensorrt_llm/serve/openai_disagg_server.py
**/*.{cpp,h,cu,py}

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All TensorRT-LLM Open Source Software code files should contain an NVIDIA copyright header that includes the current year at the top

Files:

  • tensorrt_llm/serve/openai_disagg_server.py
🧬 Code graph analysis (1)
tensorrt_llm/serve/openai_disagg_server.py (3)
tensorrt_llm/serve/openai_protocol.py (2)
  • CompletionRequest (198-326)
  • ChatCompletionRequest (485-699)
examples/disaggregated/clients/disagg_client.py (1)
  • send_chat_request (67-112)
tensorrt_llm/logger.py (2)
  • warning (132-133)
  • error (126-127)
🪛 Ruff (0.14.5)
tensorrt_llm/serve/openai_disagg_server.py

267-267: Abstract raise to an inner function

(TRY301)


267-267: Avoid specifying long messages outside the exception class

(TRY003)

🔇 Additional comments (1)
tensorrt_llm/serve/openai_disagg_server.py (1)

267-267: Good improvement to error message specificity.

Using type(gen_req).__name__ provides the actual type name dynamically, making debugging easier.

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/bot run --disable-fail-fast

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