Put CI agents on a separate model budget.
Review bots, test generators, and release jobs should not share the same model key as production. ProxyLLM gives GitHub Actions its own capped key, and OpenAI-model calls bill to your ChatGPT subscription through Codex Hosted.
Free for 7 days, then $129/month. Bring your own model keys. No inference markup.
Three steps to connect.
Create a CI key
Generate a ProxyLLM key just for GitHub Actions and store it in your repository or organization secrets.
Send the job to ProxyLLM
Point the job at https://api.proxyllm.ai/v1 and pass the ProxyLLM key to your tests, review bot, or release job.
Cap unattended runs
CI runs on every push and retries what fails. ProxyLLM keeps that automation under its own cap, with per-key request logs and subscription billing instead of a meter.
Secrets in, gateway out.
Most CI AI tools already know how to read these settings.
env:
OPENAI_BASE_URL: https://api.proxyllm.ai/v1
OPENAI_API_KEY: ${{ secrets.PROXYLLM_API_KEY }}
steps:
- uses: actions/checkout@v4
- run: npm testRun your AI workloads on your ChatGPT subscription.
ProxyLLM runs OpenAI's Codex for you, signed in with your own ChatGPT account. Your apps call one OpenAI-compatible endpoint and the work bills to your flat plan instead of per-token API pricing.
Make unattended AI jobs accountable.
One capped key for CI, a request log for every run, flat billing through Codex Hosted. No pull request gets an unlimited model tab.