AgentSkillsCN

update-sglang-nightly

列出可用的SGLang夜间构建版本，并更新config/models.yaml以固定特定版本。适用于用户想要浏览夜间构建、固定SGLang特定版本，或更新SGLang夜间配置时使用。

SKILL.md
--- frontmatter
name: update-sglang-nightly
description: List available SGLang nightly builds and update config/models.yaml to pin a specific version. Use when user wants to browse nightlies, pin a specific SGLang version, or update SGLang nightly config.
user-invocable: true

Update SGLang Nightly Version

This skill lists available SGLang CUDA 13 nightly builds and helps pin a specific version in config/models.yaml.

Step 1: Fetch Recent CUDA 13 Nightly Tags

bash
curl -s 'https://hub.docker.com/v2/repositories/lmsysorg/sglang/tags?page_size=20&name=nightly-dev-cu13' | \
  jq -r '.results[] | select(.name | startswith("nightly-dev-cu13-")) | [.name, (.last_updated | split("T")[0])] | @tsv' | head -10

This outputs: {tag}\t{push_date} for the 10 most recent CUDA 13 nightly builds.

Step 2: Display Results

Show a formatted table:

code
Recent SGLang CUDA 13 Nightly Builds

#   TAG                                      DATE
1   nightly-dev-cu13-20260110-8a1be0dc       2026-01-10
2   nightly-dev-cu13-20260109-abc12345       2026-01-09
3   nightly-dev-cu13-20260108-def67890       2026-01-08
...

Current config: defaults.backends.sglang.backend_version = nightly-dev-cu13-20260110-8a1be0dc

Step 3: Interactive Selection

Use AskUserQuestion to ask the user:

Question 1: "Which SGLang version would you like to pin?"

  • •Options: Show top 4 tags as options (e.g., "1. nightly-dev-cu13-20260110-8a1be0dc")
  • •Include "Browse only (no update)" option

If user selects "Browse only", stop here.

Question 2: "Where should this version be applied?"

  • •"Global default" - Updates defaults.backends.sglang
  • •"Specific model" - Ask which model, then update that model's config

Step 4: Update Config

Read config/models.yaml and update the appropriate section.

For Global Default:

yaml
defaults:
  backends:
    sglang:
      backend_version: {selected_tag}  # Update this line

For Model-Specific:

Add or update the model's profiles section:

yaml
models:
  - repo_id: org/model-name
    profiles:
      default:
        backend: sglang
        backend_version: {selected_tag}

Step 5: Confirm

After updating, show the user what was changed:

code
Updated config/models.yaml:
  defaults.backends.sglang.backend_version: nightly-dev-cu13-20260110-8a1be0dc

To apply this change, run:
  uv run python scripts/run_bench.py --model ~/models/... --backend sglang

Notes

  • •CUDA 13 nightlies use the tag pattern: nightly-dev-cu13-{YYYYMMDD}-{short_hash}
  • •For stable releases, use tags like v0.5.7-cu130-runtime or latest-cu130-runtime
  • •The short hash is derived from the SGLang commit (not the full SHA like vLLM)