How it works

Your apps call OpenDoor once.

Keep your OpenAI SDK. Change the base URL. OpenDoor handles access, routing, fallbacks, and metering across serverless and dedicated paths.

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Designed for developers

Create a workspace & API key

Policy runs before the provider

Auth, rate limits, spend-tier TPM unlocks, service_tier (standard / priority), and org governance all gate the request.

Route, cache affinity, observe

Smart routing picks a healthy provider. Prompt-cache affinity sticks successful paths. Tokens and cost land in usage + billing.

Scale beyond chat

Need a GPU? Deploy dedicated. Need a fine-tune? Train → call ft: at base price. Need A/B? Use router:slug.

Example

curl -X POST https://opendoor-gcp.web.app/v1/chat/completions \
  -H "Authorization: Bearer $OPENDOOR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.1-8b-instruct",
    "messages": [{"role":"user","content":"Hello"}]
  }'

Same shape as OpenAI. Point clients at opendoor-gcp.web.app. Model id comes from the live catalog.

Try the playground

A request, end to end

Four gates. Then the provider.

Auth

Bearer key is hashed and loaded. Disabled or over-cap keys never leave the gateway.

Policy

Allowlists, RPM/TPM, spend tiers, and org policies decide if the call proceeds.

Route

A healthy provider (or dedicated deployment / router) is chosen. Fallbacks fire on failure.

Meter

Tokens, latency, and cost are written. Cached input is billed at the published rate.

Then use it in the product

Playground

Pick a live catalog model and send a real chat completion.

API keys

Mint a scoped key, then drop it into any OpenAI SDK.

Deployments

Stand up dedicated GPUs or local Ollama when serverless is not enough.

Docs

Chat, embeddings, batches, vision, and service tiers — on this site.

SDK & CLI

One key for the terminal and TypeScript client, including OpenBot.

Ready to send the first request?

Create a workspace, mint a key, and keep your existing OpenAI client.

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