Performance Profiler¶

Identify hot paths, profile code, and propose meaningful performance improvements.

Workflow source: gh-aw-performance-profiler.md

How it works¶

Detects the build system and benchmark infrastructure, runs existing benchmarks or instruments likely hot paths, and reports findings with concrete before/after measurements. The bar is high — files only when measurable profiling data supports the claim. Most runs end with noop.

Quick Install¶

mkdir -p .github/workflows && curl -sL \
  https://raw.githubusercontent.com/elastic/ai-github-actions/v0/gh-agent-workflows/performance-profiler/example.yml \
  -o .github/workflows/performance-profiler.yml

Trigger¶

Event	Schedule
`schedule`	Weekdays
`workflow_dispatch`	Manual

Inputs¶

Input	Description	Required	Default
`additional-instructions`	Repo-specific instructions appended to the agent prompt	No	`""`
`setup-commands`	Shell commands run before the agent starts	No	`""`
`allowed-bot-users`	Allowlisted bot actor usernames (comma-separated)	No	`github-actions[bot]`

Safe Outputs¶

create-issue — file a performance profiling report (max 1, auto-closes older reports)

Example Workflow¶

name: Performance Profiler
on:
  schedule:
    - cron: "0 14 * * 1-5"
  workflow_dispatch:

permissions:
  contents: read
  issues: write
  pull-requests: read

jobs:
  run:
    uses: elastic/ai-github-actions/.github/workflows/gh-aw-performance-profiler.lock.yml@v0
    secrets:
      COPILOT_GITHUB_TOKEN: ${{ secrets.COPILOT_GITHUB_TOKEN }}