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[https://nvbugs/5540979][fix] Potential fix for 5540979 #9414
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Signed-off-by: Rashid Kaleem <[email protected]>
📝 WalkthroughWalkthroughAdds 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
Sequence DiagramsequenceDiagram
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
Estimated code review effort🎯 2 (Simple) | ⏱️ ~12 minutes
Pre-merge checks and finishing touches❌ Failed checks (1 warning)
✅ Passed checks (2 passed)
✨ Finishing touches
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Actionable comments posted: 2
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📒 Files selected for processing (1)
tensorrt_llm/serve/openai_disagg_server.py(1 hunks)
🧰 Additional context used
📓 Path-based instructions (2)
**/*.py
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
**/*.py: The code developed for TensorRT-LLM should conform to Python 3.8+
Indent Python code with 4 spaces; do not use tabs
Always maintain the namespace when importing in Python, even if only one class or function from a module is used (e.g., usefrom package.subpackage import fooand thenfoo.SomeClass()instead offrom package.subpackage.foo import SomeClass)
Python filenames should use snake_case (e.g.,some_file.py)
Python class names should use PascalCase (e.g.,class SomeClass)
Python function and method names should use snake_case (e.g.,def my_awesome_function():)
Python local variable names should use snake_case, with prefixkfor variable names that start with a number (e.g.,k_99th_percentile = ...)
Python global variables should use upper snake_case with prefixG(e.g.,G_MY_GLOBAL = ...)
Python constants should use upper snake_case (e.g.,MY_CONSTANT = ...)
Avoid shadowing variables declared in an outer scope in Python
Initialize all externally visible members of a Python class in the constructor
For Python interfaces that may be used outside a file, prefer docstrings over comments
Python comments should be reserved for code within a function, or interfaces that are local to a file
Use Google style docstrings for Python classes and functions, which can be parsed by Sphinx
Python attributes and variables can be documented inline with type and description (e.g.,self.x = 5followed by"""<type>: Description of 'x'""")
Avoid using reflection in Python when functionality can be easily achieved without reflection
When using try-except blocks in Python, limit the except clause to the smallest set of specific errors possible instead of catching all exceptions
When using try-except blocks in Python to handle multiple possible variable types (duck-typing), keep the body of the try as small as possible and use the else block to implement the logic
Files:
tensorrt_llm/serve/openai_disagg_server.py
**/*.{cpp,h,cu,py}
📄 CodeRabbit inference engine (CODING_GUIDELINES.md)
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.
|
/bot run --disable-fail-fast |
Summary by CodeRabbit
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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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