Guide d’intégration

Open WebUI + OrcaRouter

Open WebUI is the most popular self-hosted LLM chat interface. It reads its OpenAI connection from two environment variables — start the container with them pointed at OrcaRouter and every model on the catalog shows up in the model picker.

Obtenir une clé API Open WebUI site web ↗

Étapes de configuration

Brancher OrcaRouter en 5 minutes

1.Install Docker (or use an existing Open WebUI deployment).
2.Start the container with OPENAI_API_BASE_URL=https://api.orcarouter.ai/v1 and OPENAI_API_KEY=sk-orca-… (see the snippet).
3.Open http://localhost:3000 and create the admin account.
4.Every OrcaRouter model appears in the model picker automatically — or manage the connection later under Admin Panel → Settings → Connections.
5.Pick a model and chat. You're routing.

Exemple de configuration

docker run -d -p 3000:8080 \
  -e OPENAI_API_BASE_URL="https://api.orcarouter.ai/v1" \
  -e OPENAI_API_KEY="sk-orca-..." \
  -v open-webui:/app/backend/data \
  --name open-webui \
  ghcr.io/open-webui/open-webui:main

Pourquoi router Open WebUI via OrcaRouter ?

Open WebUI is only as good as the endpoint behind it. With OrcaRouter you give every user of your instance 200+ models through one connection, automatic failover when a provider goes down, and a single cost dashboard instead of a drawer full of API keys.

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