diff --git a/.github/scripts/triage-issue.py b/.github/scripts/triage-issue.py
new file mode 100644
index 000000000..31eaf03c4
--- /dev/null
+++ b/.github/scripts/triage-issue.py
@@ -0,0 +1,242 @@
+"""
+Issue triage bot for TorchSharp.
+
+Classifies new GitHub issues using an LLM and applies the appropriate label.
+Posts a polite comment acknowledging the issue.
+Skips issues that already have triage labels (manually set by maintainers).
+"""
+
+import json
+import os
+import re
+import sys
+import time
+import urllib.error
+import urllib.request
+
+GITHUB_API = "https://api.github.com"
+INFERENCE_API = "https://models.github.ai/inference"
+MODEL = "gpt-4o-mini"
+
+TRIAGE_LABELS = {"bug", "Missing Feature", "question"}
+
+SYSTEM_PROMPT = """\
+You are an issue triage bot for TorchSharp, a .NET binding for PyTorch.
+
+Classify the following GitHub issue into exactly ONE of these categories:
+- bug: Something is broken, crashes, throws an unexpected error, or produces wrong results.
+- Missing Feature: A PyTorch API or feature that is not yet available in TorchSharp.
+- question: The user is asking for help, guidance, or clarification on how to use TorchSharp.
+
+Respond with ONLY a JSON object in this exact format, no other text:
+{"label": "<one of: bug, Missing Feature, question>", "reason": "<one sentence explanation>"}
+"""
+
+COMMENT_TEMPLATES = {
+    "bug": (
+        "Thank you for reporting this issue! 🙏\n\n"
+        "I've triaged this as a **bug**. {reason}\n\n"
+        "A maintainer will review this soon. In the meantime, please make sure you've "
+        "included a minimal code sample to reproduce the issue and the TorchSharp version you're using.\n\n"
+        "*This comment was generated automatically by the issue triage bot.*"
+    ),
+    "Missing Feature": (
+        "Thank you for opening this issue! 🙏\n\n"
+        "I've triaged this as a **missing feature** request. {reason}\n\n"
+        "If you haven't already, it would be very helpful to include a link to the "
+        "corresponding PyTorch documentation and a Python code example.\n\n"
+        "*This comment was generated automatically by the issue triage bot.*"
+    ),
+    "question": (
+        "Thank you for reaching out! 🙏\n\n"
+        "I've triaged this as a **question**. {reason}\n\n"
+        "A maintainer or community member will try to help as soon as possible. "
+        "Please make sure to include the TorchSharp version and a code sample for context.\n\n"
+        "*This comment was generated automatically by the issue triage bot.*"
+    ),
+}
+
+
+def github_request(method, path, body=None):
+    """Make an authenticated request to the GitHub API."""
+    token = os.environ["GITHUB_TOKEN"]
+    url = f"{GITHUB_API}{path}"
+    data = json.dumps(body).encode() if body else None
+    req = urllib.request.Request(url, data=data, method=method)
+    req.add_header("Authorization", f"Bearer {token}")
+    req.add_header("Accept", "application/vnd.github+json")
+    req.add_header("X-GitHub-Api-Version", "2022-11-28")
+    if data:
+        req.add_header("Content-Type", "application/json")
+    try:
+        with urllib.request.urlopen(req, timeout=30) as resp:
+            return json.loads(resp.read())
+    except urllib.error.HTTPError as e:
+        error_body = e.read().decode(errors="replace") if e.fp else ""
+        raise RuntimeError(f"GitHub API {method} {path} failed ({e.code}): {error_body}") from e
+
+
+def sanitize_reason(reason):
+    """Sanitize LLM-generated reason to prevent markdown injection."""
+    # Limit length to avoid excessively long comments.
+    reason = reason[:200]
+
+    # Strip markdown links: [text](url) -> text
+    reason = re.sub(r"\[([^\]]+)\]\([^\)]+\)", r"\1", reason)
+
+    # Strip markdown images entirely: ![alt](url) -> ""
+    reason = re.sub(r"!\[([^\]]*)\]\([^\)]+\)", "", reason)
+
+    # Remove fenced code blocks with triple backticks to prevent block injection.
+    reason = re.sub(r"```.*?```", "", reason, flags=re.DOTALL)
+
+    # Remove any remaining standalone backticks used for inline code.
+    reason = reason.replace("`", "")
+
+    # Strip simple HTML tags such as <script>, <b>, etc.
+    reason = re.sub(r"<[^>]+>", "", reason)
+
+    # Escape markdown special characters so the text is rendered literally.
+    reason = re.sub(r"([\\*_{}\[\]()>#+\-!])", r"\\\1", reason)
+
+    return reason.strip()
+
+
+def classify_issue(title, body):
+    """Call the LLM to classify the issue."""
+    token = os.environ["GITHUB_TOKEN"]
+    user_message = f"Issue title: {title}\n\nIssue body:\n{body or '(empty)'}"
+    max_length = 4000
+    if len(user_message) > max_length:
+        user_message = user_message[:max_length] + "\n\n[Truncated]"
+
+    payload = {
+        "model": MODEL,
+        "messages": [
+            {"role": "system", "content": SYSTEM_PROMPT},
+            {"role": "user", "content": user_message},
+        ],
+        "temperature": 0.0,
+    }
+
+    data = json.dumps(payload).encode()
+
+    # Retry with exponential backoff
+    max_retries = 3
+    result = None
+    for attempt in range(max_retries):
+        req = urllib.request.Request(
+            f"{INFERENCE_API}/chat/completions", data=data, method="POST"
+        )
+        req.add_header("Authorization", f"Bearer {token}")
+        req.add_header("Content-Type", "application/json")
+        try:
+            with urllib.request.urlopen(req, timeout=60) as resp:
+                result = json.loads(resp.read())
+            break
+        except (urllib.error.HTTPError, urllib.error.URLError, TimeoutError) as e:
+            if attempt < max_retries - 1:
+                wait = 2 ** attempt
+                print(f"::warning::LLM API attempt {attempt + 1} failed ({e}); retrying in {wait}s")
+                time.sleep(wait)
+            else:
+                error_detail = ""
+                if isinstance(e, urllib.error.HTTPError) and e.fp:
+                    error_detail = e.read().decode(errors="replace")
+                raise RuntimeError(f"LLM API call failed after {max_retries} attempts: {error_detail or e}") from e
+
+    # Validate response structure
+    if not isinstance(result, dict):
+        raise RuntimeError("LLM API returned unexpected response format: top-level JSON is not an object.")
+
+    choices = result.get("choices")
+    if not isinstance(choices, list) or not choices:
+        raise RuntimeError("LLM API returned unexpected response format: missing or empty 'choices' array.")
+
+    first_choice = choices[0]
+    if not isinstance(first_choice, dict):
+        raise RuntimeError("LLM API returned unexpected response format: first choice is not an object.")
+
+    message = first_choice.get("message")
+    if not isinstance(message, dict):
+        raise RuntimeError("LLM API returned unexpected response format: missing or invalid 'message' in first choice.")
+
+    content = message.get("content")
+    if not isinstance(content, str) or not content.strip():
+        raise RuntimeError("LLM API returned unexpected response format: missing or invalid 'content' in message.")
+
+    content = content.strip()
+
+    # Parse the JSON response, stripping markdown fences if present
+    json_match = re.search(r"\{.*\}", content, re.DOTALL)
+    if json_match:
+        content = json_match.group(0)
+
+    try:
+        parsed = json.loads(content)
+    except (json.JSONDecodeError, TypeError) as e:
+        print(f"::warning::Failed to parse LLM JSON response ({e}); defaulting to 'question'")
+        return "question", "Could not parse LLM response; defaulting to 'question'."
+
+    if not isinstance(parsed, dict):
+        print("::warning::LLM JSON content is not an object, defaulting to 'question'")
+        return "question", "Could not determine the issue type."
+
+    label = parsed.get("label")
+    if not isinstance(label, str) or not label:
+        print("::warning::LLM response missing 'label', defaulting to 'question'")
+        label = "question"
+
+    reason_raw = parsed.get("reason", "")
+    reason = sanitize_reason(reason_raw if isinstance(reason_raw, str) else "")
+
+    if label not in TRIAGE_LABELS:
+        print(f"::warning::LLM returned unknown label '{label}', defaulting to 'question'")
+        label = "question"
+        reason = reason or "Could not determine the issue type."
+
+    return label, reason
+
+
+def main():
+    required_vars = ["GITHUB_TOKEN", "REPO", "ISSUE_NUMBER"]
+    missing = [v for v in required_vars if not os.environ.get(v)]
+    if missing:
+        raise ValueError(f"Missing required environment variables: {', '.join(missing)}")
+
+    repo = os.environ["REPO"]
+    issue_number = os.environ["ISSUE_NUMBER"]
+
+    # Fetch the issue
+    issue = github_request("GET", f"/repos/{repo}/issues/{issue_number}")
+    existing_labels = {lbl["name"] for lbl in issue.get("labels", [])}
+
+    # Skip if the issue already has a triage label (manually set by maintainer)
+    overlap = existing_labels & TRIAGE_LABELS
+    if overlap:
+        print(f"Issue #{issue_number} already has triage label(s): {overlap}. Skipping.")
+        return
+
+    title = issue.get("title", "")
+    body = issue.get("body", "")
+
+    print(f"Classifying issue #{issue_number}: {title}")
+    label, reason = classify_issue(title, body)
+    print(f"Classification: {label} — {reason}")
+
+    # Add the label
+    github_request("POST", f"/repos/{repo}/issues/{issue_number}/labels", {"labels": [label]})
+    print(f"Added label '{label}' to issue #{issue_number}")
+
+    # Post a comment
+    comment_body = COMMENT_TEMPLATES[label].format(reason=reason)
+    github_request("POST", f"/repos/{repo}/issues/{issue_number}/comments", {"body": comment_body})
+    print(f"Posted triage comment on issue #{issue_number}")
+
+
+if __name__ == "__main__":
+    try:
+        main()
+    except Exception as e:
+        print(f"::error::Triage failed: {e}")
+        sys.exit(1)
diff --git a/.github/workflows/issue-triage.yml b/.github/workflows/issue-triage.yml
new file mode 100644
index 000000000..df200f738
--- /dev/null
+++ b/.github/workflows/issue-triage.yml
@@ -0,0 +1,35 @@
+name: Issue Triage
+
+on:
+  issues:
+    types: [opened]
+  workflow_dispatch:
+    inputs:
+      issue_number:
+        description: 'Issue number to triage'
+        required: true
+        type: number
+
+permissions:
+  issues: write
+  models: read
+
+jobs:
+  triage:
+    runs-on: ubuntu-latest
+    timeout-minutes: 10
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          sparse-checkout: .github/scripts
+
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.12'
+
+      - name: Triage issue
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+          ISSUE_NUMBER: ${{ github.event.inputs.issue_number || github.event.issue.number }}
+          REPO: ${{ github.repository }}
+        run: python .github/scripts/triage-issue.py