[WIP] Update kimi-k2-pd-rt.yaml

[Atream]

What type of PR is this?

Update kimi-k2-pd-rt.yaml

What this PR does / why we need it:

Which issue(s) this PR fixes:

Fixes #

Special notes for your reviewer:

Does this PR introduce a user-facing change?

[gemini-code-assist]

Summary of Changes

Hello @Atream, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request updates the kimi-k2-pd-rt.yaml configuration file by performing a significant cleanup and streamlining of its SGLang runtime definitions. The changes primarily involve removing outdated or unnecessary SGLang-related profiling, recording, and specific runtime parameters, while introducing a new parameter for expert redundancy.

Highlights

• Configuration Cleanup: Removed various SGLang-specific volumes, volume mounts, and environment variables that were previously configured for recording and profiling.
• Runtime Argument Streamlining: Eliminated several SGLang runtime arguments, including --context-length, --cuda-graph-bs, and SGLANG_NUM_RESERVED_DECODE_TOKENS, simplifying the command-line parameters.
• Logging and Expert Redundancy Update: Replaced the --log-level debug argument with --ep-num-redundant-experts $(PARALLELISM_SIZE) in certain runtime configurations, indicating a shift in focus from verbose logging to expert redundancy settings.

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[gemini-code-assist]

Code Review

This pull request updates the kimi-k2-pd-rt.yaml configuration file, primarily removing debugging and profiling configurations. The review focuses on ensuring that the use of environment variables for critical parameters is well-managed and reliable.

[gemini-code-assist]

Consider explicitly defining --tp-size instead of relying on the $(PARALLELISM_SIZE) variable. While using a variable is acceptable, ensure that PARALLELISM_SIZE is reliably set and managed within your deployment environment. Otherwise, the tp-size may not be what you expect, leading to unexpected behavior or performance issues. This applies to all instances where $(PARALLELISM_SIZE) is used.

[gemini-code-assist]

Consider explicitly defining --ep-num-redundant-experts instead of relying on the $(PARALLELISM_SIZE) variable. While using a variable is acceptable, ensure that PARALLELISM_SIZE is reliably set and managed within your deployment environment. Otherwise, the ep-num-redundant-experts may not be what you expect, leading to unexpected behavior or performance issues. This applies to all instances where $(PARALLELISM_SIZE) is used.

[gemini-code-assist]

Consider explicitly defining --tp-size instead of relying on the $(PARALLELISM_SIZE) variable. While using a variable is acceptable, ensure that PARALLELISM_SIZE is reliably set and managed within your deployment environment. Otherwise, the tp-size may not be what you expect, leading to unexpected behavior or performance issues. This applies to all instances where $(PARALLELISM_SIZE) is used.

[gemini-code-assist]

Consider explicitly defining --ep-num-redundant-experts instead of relying on the $(PARALLELISM_SIZE) variable. While using a variable is acceptable, ensure that PARALLELISM_SIZE is reliably set and managed within your deployment environment. Otherwise, the ep-num-redundant-experts may not be what you expect, leading to unexpected behavior or performance issues. This applies to all instances where $(PARALLELISM_SIZE) is used.

[gemini-code-assist]

Consider explicitly defining --ep-num-redundant-experts instead of relying on the $(PARALLELISM_SIZE) variable. While using a variable is acceptable, ensure that PARALLELISM_SIZE is reliably set and managed within your deployment environment. Otherwise, the ep-num-redundant-experts may not be what you expect, leading to unexpected behavior or performance issues. This applies to all instances where $(PARALLELISM_SIZE) is used.