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name: Issue Triage (Models)
on:
issues:
types: [opened]
permissions:
issues: write
models: read
concurrency:
group: ${{ github.workflow }}-${{ github.event.issue.number }}
cancel-in-progress: true
jobs:
triage:
if: ${{ github.repository == 'meshtastic/firmware' && github.event.issue.user.type != 'Bot' }}
runs-on: ubuntu-latest
steps:
# ─────────────────────────────────────────────────────────────────────────
# Step 1: Quality check (spam/AI-slop detection) - runs first, exits early if spam
# ─────────────────────────────────────────────────────────────────────────
- name: Detect spam or low-quality content
uses: actions/ai-inference@v2
id: quality
continue-on-error: true
with:
max-tokens: 20
prompt: |
Is this GitHub issue spam, AI-generated slop, or low quality?
Title: ${{ github.event.issue.title }}
Body: ${{ github.event.issue.body }}
Respond with exactly one of: spam, ai-generated, needs-review, ok
system-prompt: You detect spam and low-quality contributions. Be conservative - only flag obvious spam or AI slop.
model: openai/gpt-4o-mini
- name: Apply quality label if needed
if: steps.quality.outputs.response != '' && steps.quality.outputs.response != 'ok'
uses: actions/github-script@v8
env:
QUALITY_LABEL: ${{ steps.quality.outputs.response }}
with:
script: |
const label = (process.env.QUALITY_LABEL || '').trim().toLowerCase();
const labelMeta = {
'spam': { color: 'd73a4a', description: 'Possible spam' },
'ai-generated': { color: 'fbca04', description: 'Possible AI-generated low-quality content' },
'needs-review': { color: 'f9d0c4', description: 'Needs human review' },
};
const meta = labelMeta[label];
if (!meta) return;
// Ensure label exists
try {
await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
} catch (e) {
if (e.status !== 404) throw e;
await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
}
// Apply label
await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.issue.number, labels: [label] });
// Set output to skip remaining steps
core.setOutput('is_spam', 'true');
# ─────────────────────────────────────────────────────────────────────────
# Step 2: Duplicate detection - only if not spam
# ─────────────────────────────────────────────────────────────────────────
- name: Detect duplicate issues
if: steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == ''
uses: pelikhan/action-genai-issue-dedup@bdb3b5d9451c1090ffcdf123d7447a5e7c7a2528 # v0.0.19
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
# ─────────────────────────────────────────────────────────────────────────
# Step 3: Completeness check + auto-labeling (combined into one AI call)
# ─────────────────────────────────────────────────────────────────────────
- name: Determine if completeness check should be skipped
if: steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == ''
uses: actions/github-script@v8
id: check-skip
with:
script: |
const title = (context.payload.issue.title || '').toLowerCase();
const labels = (context.payload.issue.labels || []).map(label => label.name);
const hasFeatureRequest = title.includes('feature request');
const hasEnhancement = labels.includes('enhancement');
const shouldSkip = hasFeatureRequest && hasEnhancement;
core.setOutput('should_skip', shouldSkip ? 'true' : 'false');
- name: Analyze issue completeness and determine labels
if: (steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == '') && steps.check-skip.outputs.should_skip != 'true'
uses: actions/ai-inference@v2
id: analysis
continue-on-error: true
with:
prompt: |
Analyze this GitHub issue for completeness and determine if it needs labels.
IMPORTANT: Distinguish between:
- Device/firmware bugs (crashes, reboots, lockups, radio/GPS/display/power issues) - these need device logs
- Build/release/packaging issues (missing files, CI failures, download problems) - these do NOT need device logs
- Documentation or website issues - these do NOT need device logs
If this is a device/firmware bug, request device logs and explain how to get them:
Web Flasher logs:
- Go to https://flasher.meshtastic.org
- Connect the device via USB and click Connect
- Open the device console/log output, reproduce the problem, then copy/download and attach/paste the logs
Meshtastic CLI logs:
- Run: meshtastic --port <serial-port> --noproto
- Reproduce the problem, then copy/paste the terminal output
Also request key context if missing: device model/variant, firmware version, region, steps to reproduce, expected vs actual.
Respond ONLY with valid JSON (no markdown, no code fences):
{"complete": true, "comment": "", "label": "none"}
OR
{"complete": false, "comment": "Your helpful comment", "label": "needs-logs"}
Use "needs-logs" ONLY if this is a device/firmware bug AND no logs are attached.
Use "needs-info" if basic info like firmware version or steps to reproduce are missing.
Use "none" if the issue is complete, is a feature request, or is a build/CI/packaging issue.
Title: ${{ github.event.issue.title }}
Body: ${{ github.event.issue.body }}
system-prompt: You are a helpful assistant that triages GitHub issues. Be conservative with labels. Only request device logs for actual device/firmware bugs, not for build/release/CI issues.
model: openai/gpt-4o-mini
- name: Process analysis result
if: (steps.quality.outputs.response == 'ok' || steps.quality.outputs.response == '') && steps.check-skip.outputs.should_skip != 'true' && steps.analysis.outputs.response != ''
uses: actions/github-script@v8
id: process
env:
AI_RESPONSE: ${{ steps.analysis.outputs.response }}
with:
script: |
let raw = (process.env.AI_RESPONSE || '').trim();
// Strip markdown code fences if present
raw = raw.replace(/^```(?:json)?\s*/i, '').replace(/\s*```$/i, '').trim();
let complete = true;
let comment = '';
let label = 'none';
try {
const parsed = JSON.parse(raw);
complete = !!parsed.complete;
comment = (parsed.comment ?? '').toString().trim();
label = (parsed.label ?? 'none').toString().trim().toLowerCase();
} catch {
// If JSON parse fails, log warning and don't comment (avoid posting raw JSON)
console.log('Failed to parse AI response as JSON:', raw);
complete = true;
comment = '';
label = 'none';
}
// Validate label
const allowedLabels = new Set(['needs-logs', 'needs-info', 'none']);
if (!allowedLabels.has(label)) label = 'none';
// Only comment if we have a valid parsed comment (not raw JSON)
const shouldComment = !complete && comment.length > 0 && !comment.startsWith('{');
core.setOutput('should_comment', shouldComment ? 'true' : 'false');
core.setOutput('comment_body', comment);
core.setOutput('label', label);
- name: Apply triage label
if: steps.process.outputs.label != '' && steps.process.outputs.label != 'none'
uses: actions/github-script@v8
env:
LABEL_NAME: ${{ steps.process.outputs.label }}
with:
script: |
const label = process.env.LABEL_NAME;
const labelMeta = {
'needs-logs': { color: 'cfd3d7', description: 'Device logs requested for triage' },
'needs-info': { color: 'f9d0c4', description: 'More information requested for triage' },
};
const meta = labelMeta[label];
if (!meta) return;
// Ensure label exists
try {
await github.rest.issues.getLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label });
} catch (e) {
if (e.status !== 404) throw e;
await github.rest.issues.createLabel({ owner: context.repo.owner, repo: context.repo.repo, name: label, color: meta.color, description: meta.description });
}
// Apply label
await github.rest.issues.addLabels({ owner: context.repo.owner, repo: context.repo.repo, issue_number: context.payload.issue.number, labels: [label] });
- name: Comment on issue
if: steps.process.outputs.should_comment == 'true'
uses: actions/github-script@v8
env:
COMMENT_BODY: ${{ steps.process.outputs.comment_body }}
with:
script: |
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.payload.issue.number,
body: process.env.COMMENT_BODY
});