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Refresh B300 MiniMax M3 TRT AgentX with stream interval 20 - #2685

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agent/refresh-minimaxm3-b300-trt-stream-20
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Refresh B300 MiniMax M3 TRT AgentX with stream interval 20#2685
cquil11 wants to merge 2 commits into
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agent/refresh-minimaxm3-b300-trt-stream-20

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@cquil11

@cquil11 cquil11 commented Aug 19, 2026

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Summary

  • Lower the MiniMax M3 B300 TensorRT-LLM AgentX stream interval from 100 to 20.
  • Refresh the affected AgentX sweep so client-side latency metrics use more frequent stream observations.

Why

A stream interval of 100 can collapse short generations into a single content update. That makes client-observed inter-token latency and interactivity unrepresentative for those requests. A lower interval provides enough intermediate observations to measure the client experience more faithfully.

Performance changelog

Refresh with lower stream interval to collect correct client metrics

Validation

  • bash -n benchmarks/single_node/agentic/minimaxm3_fp4_b300_trt_mtp.sh
  • git diff --check

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Thanks for the contribution! Please reach out to respective companies' CODEOWNER to fill in the latest PR_REVIEW_CHECKLIST.md before pinging core maintainer on Slack for review. In order for the signoff PR check bot to trigger, you must follow the PR_REVIEW_CHECKLIST.md template correctly, including the phrase As a PR reviewer and CODEOWNER, I have reviewed this and have.

For PR verification, add the full-sweep-fail-fast label (strongly recommended) to this PR — the benchmark sweep only runs on labeled PRs. Use full-sweep-enabled only if you need matrix jobs to keep running past a failure.

PR authors are responsible for ensuring that after merging, all GitHub Action jobs fully pass. A lot of the time, failures are just flakes and simply re-running the failed jobs will fix it. See GitHub's docs on re-running failed jobs


感谢你的贡献!请联系相应公司的 CODEOWNER 填写最新的 PR_REVIEW_CHECKLIST.md,然后再在 Slack 上联系核心维护者进行审阅。为了触发 signoff PR 检查机器人,你必须正确遵循 PR_REVIEW_CHECKLIST.md 模板,包括保留英文语句 As a PR reviewer and CODEOWNER, I have reviewed this and have

如需进行 PR 验证,请为此 PR 添加 full-sweep-fail-fast 标签(强烈推荐)— 基准测试 sweep 仅在带有标签的 PR 上运行。仅当需要矩阵任务在失败后继续运行时才使用 full-sweep-enabled

PR 作者有责任确保合并后所有 GitHub Action 任务完全通过。 很多时候失败只是偶发抖动(flake),重新运行失败的任务即可解决。参见 GitHub 关于重新运行失败任务的文档

@cquil11
cquil11 marked this pull request as ready for review August 19, 2026 22:47
@cquil11
cquil11 requested a review from a team August 19, 2026 22:47
@claude

claude Bot commented Aug 19, 2026

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Claude finished @cquil11's task in 1m 7s —— View job


PR Review

  • Gather context and read the PR diff
  • Review benchmark script change (stream_interval 100 → 20)
  • Validate perf-changelog.yaml entry (position, format, config key)
  • Post review summary

LGTM - no blocking issues found

The change is a single-value edit (stream_interval: 10020 in the generated ser.yaml at benchmarks/single_node/agentic/minimaxm3_fp4_b300_trt_mtp.sh:122) with a matching perf-changelog.yaml entry. The changelog entry is correctly appended at the end of the file, and the config key minimaxm3-fp4-b300-trtllm-agentic-mtp matches the existing entry in configs/nvidia-master.yaml.

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LGTM — straightforward config refresh, no bugs found.
What was reviewed: the single stream_interval change (100→20) in the AgentX server YAML block, and the accompanying perf-changelog entry pointing to this PR. Checked that stream_interval is only referenced in this one config block and that no other B300 MiniMax M3 script logic (spec-decode force knob, KV offload settings) was touched. The ruled-out cross-SKU divergence with the B200 sibling was investigated by the bug hunting system and is not a functional issue.

Extended reasoning...

Overview

This PR changes a single TensorRT-LLM AgentX server config value (stream_interval: 10020) in benchmarks/single_node/agentic/minimaxm3_fp4_b300_trt_mtp.sh, plus a corresponding append-only entry in perf-changelog.yaml documenting the refresh. No script logic, control flow, environment variables, or other config keys were touched.

Security risks

None. This is a benchmark tuning knob affecting how often the inference server flushes streamed token content to the client for latency measurement purposes. It has no bearing on auth, data handling, or execution paths.

Level of scrutiny

Low. This is a mechanical, single-value config tweak with a clear, well-explained rationale (avoiding collapsed streaming updates for short generations skewing inter-token latency metrics), consistent with a very similar prior change in this repo's history for a sibling B200 config. The perf-changelog entry follows the established append-only pattern.

Other factors

The bug hunting system found no bugs. One candidate issue (stream_interval divergence from the B200 sibling breaking cross-SKU comparability) was raised and refuted — different SKUs already have independently tuned configs, so this isn't a hard requirement for parity. Validation commands (bash -n, git diff --check) were run per the PR description.

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