Scale your AI agency without worrying about AI costs.
Save money inside your AI automations and workflows through ProxyLLM. Works with n8n, Make, and plain old JavaScript. See Integrations
See how much you could save 👇
ProxyLLM That total covers everything you pay us and everything you pay OpenAI, so it is exactly what the month costs you. Full calculator
Discover ProxyLLM
AI can get expensive.
Most people try to save one of three ways.
- They optimize their caching. That only gets you so far.
- They cut their prompts. That makes your product worse.
- They use Chinese models. That hands your secrets to Beijing.
But there’s a better way.
One where:
- You can stop watching caching rates like a hawk.
- You can keep using beefy prompts.
- You never have to touch shady model providers.
Discover ProxyLLM
Use your ChatGPT subscription in production.
Your workflows cost less on day one with the exact same prompts and models.
This is because the official ChatGPT subscription gives you discounted tokens compared to the API.
It was meant for coding tasks, but OpenAI lets you use it to generate responses.
100% allowed. But OpenAI doesn’t make it simple.
That’s where ProxyLLM bridges the gap.
It’s the instrument for using this discount where it matters: in your apps and workflows.
ProxyLLM makes it simple to use your sub in production by managing the hosting and set up.
All you have to do is click and you’re connected.
What does that mean for you?
You’ll immediately save money compared to the API, but that’s just the beginning.
Using your subscription in production through ProxyLLM means you don’t have to look at the meter.
And here’s what that buys you:
You stop cutting back and making your product worse.
You start building without looking at the cost.
Your users notice. They stay longer, they tell people, and success compounds.
Ideas that seem too expensive suddenly start to make sense.
Doors open when you stop worrying about the price of tokens.
Are you ready to take the first step?
One membership, everything included.
ProxyLLM is a suite of developer tools for working with AI providers. Run it on your own traffic for a week before you pay anything.
No inference markup. Cancel anytime.
Two seats to connect ChatGPT, Claude, or both.
- Codex Hosted: run production AI traffic on your ChatGPT subscription instead of paying for tokens. Far cheaper than API costs.
- One endpoint for OpenAI, Anthropic, and OpenRouter with your own keys
- Auto-routing picks the cheapest model that can still handle each prompt
- Send batches of prompts in one call, with spending limits per project
- Dollar-cost dashboard for every request, day, and model
- Telegram alerts when usage spikes or a fallback fires
7 days free. Cancel inside the trial and you are not charged.
Compare ProxyLLM to the alternatives.
The OpenAI API meters every token. The cheap Chinese labs run different models under different rules. Here is the honest picture at agency volume.
At a glance
ProxyLLM From sign-in to saving, in order.
ProxyLLM is OpenAI-compatible. Connect your ChatGPT account, point your existing tools at our address, and your requests run through your hosted Codex.
Connect your ChatGPT account
Sign in to Codex on your machine, then run one connect command. Your private Codex container starts in about a minute. Add a second account or an API key as fallback.
Point your tools at one address
Send your requests to https://api.proxyllm.ai/v1 and use your ProxyLLM key. Your existing code keeps working.
Watch the API bill drop
Work that used to bill per token now runs on your subscription. The dashboard shows what each request would have cost at API rates.
Built to cut your AI bill. And keep it cut.
Your ChatGPT plan does the heavy lifting
Connect your account once. Production traffic runs through Codex on the flat plan you already pay for, and the dashboard shows what every request would have cost at API rates.
One endpoint, never an outage
Point your whole stack at a single OpenAI-compatible address. At your plan's limit, requests fall back to a second account or your own API key automatically.
Cheapest capable model, every prompt
Auto-routing matches each prompt to the least expensive model that can handle it, so simple work never pays frontier prices.
Batches with spending limits
Send hundreds of prompts in one call and cap what each client project is allowed to spend.
A dollar figure on every request
Cost per request, per day, and per model, plus how much the subscription lane saved you this month.
client-acme is at 84% of its cap. Fallback armed.
Alerts before surprises
Telegram pings you when usage spikes or a fallback fires, so nothing runs away overnight.
Feedback from real customers.
I run an AI receptionist agency and my experience using Proxy LLM has been amazing. Switch my provider from openai API to Proxy LLM's hosted codex was very simple and helped us massively reduce our API bill. Would recommend
Works great for our iOS app, glad we're saving tons of $$ now
Common questions.
Is there a free trial?
Yes. Every account starts with 7 days free on the whole suite, Codex Hosted included. Connect your ChatGPT account, point your stack at the endpoint, and watch what the plan absorbs on your own traffic. Cancel inside the 7 days and you are never charged; stay and it becomes $129 a month.
What is Codex Hosted?
ProxyLLM runs OpenAI's Codex on our servers, signed in to your ChatGPT account. Your apps call one OpenAI-compatible endpoint, each request runs as a Codex job inside your private container, and the work bills to your flat ChatGPT subscription instead of per-token API pricing.
Why not just use the OpenAI API directly?
The API is great until the bill scales with your success. Every call is metered, so agencies shipping agents and automations watch margin disappear into per-token usage. ProxyLLM moves that work onto the flat ChatGPT plan you already pay for and keeps the API as fallback instead of the default.
What about DeepSeek, Qwen, and other cheap Chinese APIs?
Their tokens are genuinely cheap, and for throwaway experiments they can be fine. But they serve their own models rather than OpenAI's, and your prompts travel to labs under Chinese jurisdiction, with training policies that vary by lab. ProxyLLM keeps your work on OpenAI's models through your own account, run by a US company that never trains on your prompts, at a flat monthly price.
Is this safe to use?
Yes. The Codex terms allow programmatic usage: codex exec is the CLI's documented non-interactive mode, built for scripts and pipelines, and Codex is included in ChatGPT plans. We run the official, unmodified CLI in a container that belongs to you alone. You sign in directly with OpenAI through the CLI's own login command, run on your machine, and we never see your password.
Is this against OpenAI's terms?
Programmatic use is intended functionality: OpenAI documents codex exec for automation and recommends signing in with your ChatGPT account. We built around the account rules: one user, one container, one account, your own workloads, never shared or pooled. OpenAI still has the final call. Its terms let it restrict accounts at its discretion, and we are not affiliated with or endorsed by OpenAI. If OpenAI's posture changes, we tell you immediately and comply.
What happens when I hit my limit?
Requests keep flowing. Connect more than one Codex account and the next one takes over as fallback, or set your existing OpenAI API key as the fallback until your plan's limit resets. The dashboard shows which lane served each request.
Can I use Claude Code instead of Codex?
Yes. Your subscription includes a Claude Code bridge that runs on a server you own, signed in with your own Claude account. Your apps reach it the same way they reach Codex, so moving work across is a setting rather than a rewrite. Because the server belongs to you, your Claude login never leaves your own infrastructure.
How much does it save?
Depends on your bill. A $3,500/month OpenAI API bill fits in ChatGPT Pro 5x at $100 plus ProxyLLM at $129. Our price is $129 every month no matter how much you run. Put your own number in the calculator and see which plan tier absorbs it.
How does connecting my account work?
You run codex login on your own machine; your browser opens and you sign in directly with OpenAI. Then proxyllm codex connect uploads the session file to your container, where it is stored encrypted. We never see your password, and the session lives only inside your isolated container.
What happens to my API keys?
Encrypted with AES-256-GCM in our database. Decrypted only inside the serverless function that calls the provider on your behalf. We never log them and never send them to anyone other than the provider you pointed us at.
Will my stack work with it?
If it can point at an address other than OpenAI's, yes. Official OpenAI SDKs, n8n, LangChain, Cursor, and plain curl all work. You give it our address and your ProxyLLM key, and the rest of your code stays exactly as it is.
Why $129/month?
Because hosting your Codex container, keys, logs, and dashboard is software, and we do not mark up inference. If the subscription lane saves you more than $129 a month, it pays for itself. A $3,500 bill saves over $3,200.
Who is ProxyLLM for?
Teams whose OpenAI bill runs hundreds to thousands a month: agencies shipping content, agents, automations, and code for clients. If you only make a handful of calls a day, need sub-second latency on every call, or compliance requires direct provider contracts, the plain API is still your lane.
What if OpenAI changes its policy?
Then we suggest you switch to Claude Code. The bridge is already part of your subscription, it runs on a server you own, and your apps reach it exactly where they reach Codex today. We would tell you the moment OpenAI's posture changed, and your keys, logs, and dashboard stay yours either way.
Stop renting tokens. Start scaling.
Put your agents and automations on the plan you already pay for. Set up in minutes, free for the first 7 days.
7 days free · then $129/month · cancel anytime