"We replaced three vendor SDKs with one endpoint. The part I did not expect: the runtime says no fast. Bad requests die in 300ms instead of burning a minute of tokens."
The operations layer for every model
Deterministic by design. Every routing decision is a rule, not a guess.
- 100M+
- daily tokens
- 450+
- models
- 100+
- providers
- ~300ms
- decision p50
One instruction in. A clean, structured result out.
Whatever you send — a single prompt, a multi-agent task, or a scheduled workflow — the gateway decides how it should run, and hands back an answer, not a routing problem.
Routing is a typed decision, not a guess: the decision layer classifies the task, then picks the model, host and fallbacks per request — your integration never changes.
Agents are spun up per task and torn down after. Each gets the right-sized model, tools and skills for its piece of work, and the completion gate checks the merged result before you see it.
Describe the outcome once. It becomes a durable job that runs through the same gateway, key and cost controls as any live request — and reports what it did and what it cost.
Decisions are typed. Generation only happens when generation is the answer.
Every request hits the decision layer first. Most of what a request needs — is this safe, which lane, does it need a sandbox — is answered as a typed value, not a paragraph of reasoning. Generation is reserved for the part of the task that actually needs it, and even then it's split across the right-sized model for each piece of work.
- Decision layer · decides
- Classifier-driven decisions from a non-generative evaluator. Choice, score and open questions come back as typed values — no generated text, ~300ms p50, a fraction of a cent per million tokens. Nine decision seams in production.
- Verifiable-reward generation · generates
- When output must be produced, the right-sized model produces it — and the same decision layer verifies the result against checks that can actually pass or fail: code that runs, files that open, deliverables that match the ask.
Build once. Switch models anytime.
Every model, agent, and workflow behind a single endpoint. Swap providers, blend models, or route around an outage — without touching a line of your application.
- your app
- your agents
- your workflows
- openai · anthropic
- google · mistral
- meta · deepseek
- + 100 more providers
base_url = "https://api.openai.com/v1"base_url = "https://api.alphaproxy.ai/v1"model = "auto" // or any of 450+- Unified access. One OpenAI-compatible endpoint reaches every leading model — nothing new to learn, one key to manage.
- Automatic routing. Each request is matched to the model best suited for quality, latency or cost — per call, not per integration.
- No vendor lock-in. Move off any single provider instantly; your code, prompts and key stay exactly the same.
- Agent-ready. Multi-step and multi-agent tasks keep context across the whole chain — sandboxes, browsers, files and 1000+ connectors included.
Say what you want. Watch the state change.
Pick a line. The runtime shows how it would decide, route and deliver — before a single token is generated.
Sessions that changed state.
"I asked for a market map and got a sourced deck, a spreadsheet and the raw research. Everything it produced I could verify. That is the whole point."
"It read our repo, reproduced the regression in a sandbox and shipped a diff with tests. The completion gate refused to call it done until CI was green."
"Model choice stopped being a meeting. We say 'auto', the gateway picks, and our cost per task dropped by two thirds."
"The Monday report writes itself now — pulled from Notion and Sheets, built into a deck, posted to Slack. Every run leaves a log I can audit."
"One key, every model, agents that actually finish. We shipped our MVP through it and never wrote a provider integration."
This is not a website.
It is a state.
Open a session. Get a key. Point your stack at one endpoint and let the runtime decide what runs.