feat: implement workflow to sync LMSYS SGLang blog (#23438)

.github/labeler.yml

@@ -21,8 +21,10 @@ documentation:
   - changed-files:
     - any-glob-to-any-file:
       - '**/*.md'
+      - '**/*.mdx'
       - 'docs/**/*'
       - 'README*'
+      - 'docs_new/**/*'
 
 # Dependencies
 dependencies:

.github/workflows/sync-lmsys-sglang-blogs.yml

@@ -23,17 +23,18 @@ jobs:
       - name: Sync blog cards
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        run: python scripts/update_lmsys_sglang_blogs.py
+        run: python docs_new/scripts/update_lmsys_sglang_blogs.py
 
       - name: Commit and push changes
         run: |
-          if git diff --quiet; then
+          if git diff --quiet -- docs_new/index.mdx; then
-            echo "No changes to commit."
+            echo "No blog card changes to commit."
             exit 0
           fi
 
           git config user.name "github-actions[bot]"
           git config user.email "github-actions[bot]@users.noreply.github.com"
-          git add index.mdx src/generated/lmsys_sglang_blogs.json
+          git add docs_new/index.mdx
+          git diff --cached --quiet && exit 0
           git commit -m "docs: sync LMSYS SGLang blog cards"
           git push

docs_new/index.mdx

@@ -82,6 +82,116 @@ It is designed to deliver low-latency and high-throughput inference across a wid
       alignItems: "stretch",
     }}
   >
+    <a
+      href="https://lmsys.org/blog/2026-04-25-deepseek-v4/"
+      target="_blank"
+      rel="noopener noreferrer"
+      style={{
+        display: "block",
+        border: "1px solid rgba(128, 128, 128, 0.3)",
+        borderRadius: "0.75rem",
+        overflow: "hidden",
+        textDecoration: "none",
+        color: "inherit",
+        height: "100%",
+      }}
+    >
+      <div
+        style={{
+          aspectRatio: "16 / 9",
+          overflow: "hidden",
+          background: "rgba(128, 128, 128, 0.15)",
+        }}
+      >
+        <img
+          src="https://lmsys.org/images/blog/deepseek_v4/benchmark_vs_oss.png"
+          alt="DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles"
+          style={{
+            width: "100%",
+            height: "100%",
+            objectFit: "cover",
+            objectPosition: "center",
+            display: "block",
+          }}
+        />
+      </div>
+      <div style={{ padding: "0.9rem 1rem 1rem" }}>
+        <p
+          style={{
+            margin: 0,
+            fontWeight: 600,
+            lineHeight: 1.35,
+            fontSize: "0.98rem",
+          }}
+        >
+          {"DeepSeek-V4 on Day 0: From Fast Inference to Verified RL with SGLang and Miles"}
+        </p>
+        <p
+          style={{
+            margin: "0.55rem 0 0",
+            fontSize: "0.85rem",
+            opacity: 0.75,
+          }}
+        >
+          {"April 25, 2026"}
+        </p>
+      </div>
+    </a>
+    <a
+      href="https://lmsys.org/blog/2026-04-10-sglang-hisparse/"
+      target="_blank"
+      rel="noopener noreferrer"
+      style={{
+        display: "block",
+        border: "1px solid rgba(128, 128, 128, 0.3)",
+        borderRadius: "0.75rem",
+        overflow: "hidden",
+        textDecoration: "none",
+        color: "inherit",
+        height: "100%",
+      }}
+    >
+      <div
+        style={{
+          aspectRatio: "16 / 9",
+          overflow: "hidden",
+          background: "rgba(128, 128, 128, 0.15)",
+        }}
+      >
+        <img
+          src="https://lmsys.org/images/blog/hisparse/hisparse_overview.png"
+          alt="HiSparse: Turbocharging Sparse Attention with Hierarchical Memory"
+          style={{
+            width: "100%",
+            height: "100%",
+            objectFit: "cover",
+            objectPosition: "center",
+            display: "block",
+          }}
+        />
+      </div>
+      <div style={{ padding: "0.9rem 1rem 1rem" }}>
+        <p
+          style={{
+            margin: 0,
+            fontWeight: 600,
+            lineHeight: 1.35,
+            fontSize: "0.98rem",
+          }}
+        >
+          {"HiSparse: Turbocharging Sparse Attention with Hierarchical Memory"}
+        </p>
+        <p
+          style={{
+            margin: "0.55rem 0 0",
+            fontSize: "0.85rem",
+            opacity: 0.75,
+          }}
+        >
+          {"April 10, 2026"}
+        </p>
+      </div>
+    </a>
     <a
       href="https://lmsys.org/blog/2026-03-25-gtc2026/"
       target="_blank"
@@ -302,116 +412,6 @@ It is designed to deliver low-latency and high-throughput inference across a wid
         </p>
       </div>
     </a>
-    <a
-      href="https://lmsys.org/blog/2026-02-20-gb300-inferencex/"
-      target="_blank"
-      rel="noopener noreferrer"
-      style={{
-        display: "block",
-        border: "1px solid rgba(128, 128, 128, 0.3)",
-        borderRadius: "0.75rem",
-        overflow: "hidden",
-        textDecoration: "none",
-        color: "inherit",
-        height: "100%",
-      }}
-    >
-      <div
-        style={{
-          aspectRatio: "16 / 9",
-          overflow: "hidden",
-          background: "rgba(128, 128, 128, 0.15)",
-        }}
-      >
-        <img
-          src="https://lmsys.org/images/blog/gb300_inferencex/img-1.png"
-          alt="Unlocking 25x Inference Performance with SGLang on NVIDIA GB300 NVL72"
-          style={{
-            width: "100%",
-            height: "100%",
-            objectFit: "cover",
-            objectPosition: "center",
-            display: "block",
-          }}
-        />
-      </div>
-      <div style={{ padding: "0.9rem 1rem 1rem" }}>
-        <p
-          style={{
-            margin: 0,
-            fontWeight: 600,
-            lineHeight: 1.35,
-            fontSize: "0.98rem",
-          }}
-        >
-          {"Unlocking 25x Inference Performance with SGLang on NVIDIA GB300 NVL72"}
-        </p>
-        <p
-          style={{
-            margin: "0.55rem 0 0",
-            fontSize: "0.85rem",
-            opacity: 0.75,
-          }}
-        >
-          {"February 20, 2026"}
-        </p>
-      </div>
-    </a>
-    <a
-      href="https://lmsys.org/blog/2026-02-19-gb300-longctx/"
-      target="_blank"
-      rel="noopener noreferrer"
-      style={{
-        display: "block",
-        border: "1px solid rgba(128, 128, 128, 0.3)",
-        borderRadius: "0.75rem",
-        overflow: "hidden",
-        textDecoration: "none",
-        color: "inherit",
-        height: "100%",
-      }}
-    >
-      <div
-        style={{
-          aspectRatio: "16 / 9",
-          overflow: "hidden",
-          background: "rgba(128, 128, 128, 0.15)",
-        }}
-      >
-        <img
-          src="https://lmsys.org/images/blog/gb300_longctx/cover.png"
-          alt="Deploying DeepSeek on GB300 NVL72: Big Wins in Long-Context Inference"
-          style={{
-            width: "100%",
-            height: "100%",
-            objectFit: "cover",
-            objectPosition: "center",
-            display: "block",
-          }}
-        />
-      </div>
-      <div style={{ padding: "0.9rem 1rem 1rem" }}>
-        <p
-          style={{
-            margin: 0,
-            fontWeight: 600,
-            lineHeight: 1.35,
-            fontSize: "0.98rem",
-          }}
-        >
-          {"Deploying DeepSeek on GB300 NVL72: Big Wins in Long-Context Inference"}
-        </p>
-        <p
-          style={{
-            margin: "0.55rem 0 0",
-            fontSize: "0.85rem",
-            opacity: 0.75,
-          }}
-        >
-          {"February 19, 2026"}
-        </p>
-      </div>
-    </a>
   </div>
 </div>
 {/* END_LMSYS_SGLANG_BLOG_CARDS */}

docs_new/scripts/update_lmsys_sglang_blogs.py

@@ -7,13 +7,11 @@ import json
 import os
 import re
 import urllib.request
-from dataclasses import asdict, dataclass
+from dataclasses import dataclass
-from datetime import datetime, timezone
 from pathlib import Path
 
 ROOT = Path(__file__).resolve().parents[1]
 INDEX_PATH = ROOT / "index.mdx"
-OUTPUT_JSON_PATH = ROOT / "src" / "generated" / "lmsys_sglang_blogs.json"
 
 START_MARKER = "{/* BEGIN_LMSYS_SGLANG_BLOG_CARDS */}"
 END_MARKER = "{/* END_LMSYS_SGLANG_BLOG_CARDS */}"
@@ -256,20 +254,6 @@ def replace_generated_block(index_text: str, generated_cards: str) -> str:
     return updated_text
 
 
-def write_metadata(posts: list[BlogPost], total_blog_files: int) -> None:
-    OUTPUT_JSON_PATH.parent.mkdir(parents=True, exist_ok=True)
-    payload = {
-        "generatedAt": datetime.now(timezone.utc).isoformat().replace("+00:00", "Z"),
-        "sourceRepo": "https://github.com/lm-sys/lm-sys.github.io/tree/main/blog",
-        "keywords": KEYWORDS,
-        "maxCards": MAX_CARDS,
-        "totalBlogFilesScanned": total_blog_files,
-        "cardsPublished": len(posts),
-        "posts": [asdict(post) for post in posts],
-    }
-    OUTPUT_JSON_PATH.write_text(json.dumps(payload, indent=2) + "\n", encoding="utf-8")
-
-
 def main() -> None:
     sources = download_blog_sources()
     relevant_posts: list[BlogPost] = []
@@ -291,7 +275,6 @@ def main() -> None:
     if updated_index != current_index:
         INDEX_PATH.write_text(updated_index, encoding="utf-8")
 
-    write_metadata(posts=selected_posts, total_blog_files=len(sources))
     print(
         "Scanned "
         f"{len(sources)} blog files, matched {len(relevant_posts)} posts, "

docs_new/src/generated/lmsys_sglang_blogs.json

@@ -1,59 +0,0 @@
-{
-  "generatedAt": "2026-04-07T00:14:40.777335Z",
-  "sourceRepo": "https://github.com/lm-sys/lm-sys.github.io/tree/main/blog",
-  "keywords": [
-    "sglang",
-    "sgl-project/sglang",
-    "sgl-kernel",
-    "sglang-jax",
-    "sgl diffusion",
-    "sglang diffusion"
-  ],
-  "maxCards": 6,
-  "totalBlogFilesScanned": 80,
-  "cardsPublished": 6,
-  "posts": [
-    {
-      "slug": "2026-03-25-gtc2026",
-      "title": "Highlights of SGLang at NVIDIA GTC 2026",
-      "url": "https://lmsys.org/blog/2026-03-25-gtc2026/",
-      "image": "https://lmsys.org/images/blog/gtc2026/happyhour-crowd.jpg",
-      "date": "March 31, 2026"
-    },
-    {
-      "slug": "2026-03-25-eep-partial-failure-tolerance",
-      "title": "Elastic EP in SGLang: Achieving Partial Failure Tolerance for DeepSeek MoE Deployments",
-      "url": "https://lmsys.org/blog/2026-03-25-eep-partial-failure-tolerance/",
-      "image": "https://lmsys.org/images/blog/eep-partial-failure-tolerance/figure.png",
-      "date": "March 25, 2026"
-    },
-    {
-      "slug": "2026-03-17-rocm-miles-rl-amd",
-      "title": "ROCm Support for Miles: Large-Scale RL Post-Training on AMD Instinct\u2122 GPUs",
-      "url": "https://lmsys.org/blog/2026-03-17-rocm-miles-rl-amd/",
-      "image": "https://lmsys.org/images/blog/rocm_miles_rl/fig_1.png",
-      "date": "March 17, 2026"
-    },
-    {
-      "slug": "2026-03-11-run-nvidia-nemotron-3-super",
-      "title": "SGLang Adds Day-0 Support for NVIDIA Nemotron 3 Super for building High-Efficiency Multi-Agent Systems",
-      "url": "https://lmsys.org/blog/2026-03-11-run-nvidia-nemotron-3-super/",
-      "image": "https://lmsys.org/images/blog/nemotron-3-super/figure_1.svg",
-      "date": "March 11, 2026"
-    },
-    {
-      "slug": "2026-02-20-gb300-inferencex",
-      "title": "Unlocking 25x Inference Performance with SGLang on NVIDIA GB300 NVL72",
-      "url": "https://lmsys.org/blog/2026-02-20-gb300-inferencex/",
-      "image": "https://lmsys.org/images/blog/gb300_inferencex/img-1.png",
-      "date": "February 20, 2026"
-    },
-    {
-      "slug": "2026-02-19-gb300-longctx",
-      "title": "Deploying DeepSeek on GB300 NVL72: Big Wins in Long-Context Inference",
-      "url": "https://lmsys.org/blog/2026-02-19-gb300-longctx/",
-      "image": "https://lmsys.org/images/blog/gb300_longctx/cover.png",
-      "date": "February 19, 2026"
-    }
-  ]
-}