Your own keys
Custom OpenAI-compatible endpoints
Connect any public OpenAI-compatible server, such as vLLM, a hosted inference service or your own proxy, and call its models through DigitSpace.
Any server that speaks the OpenAI Chat Completions API at a public HTTPS address can be added as a Custom (OpenAI-compatible) provider.
Steps
- In Provider keys → Add a provider key, choose Custom (OpenAI-compatible).
- Enter a Name in lowercase words joined by hyphens, such as
my-vllm. It becomes part of the model IDs. - Enter the Base URL, the address that ends where
/chat/completionsand/modelsbegin, such ashttps://llm.example.com/v1. It must be a public HTTPS address. - Paste the server's API key, and save.
DigitSpace reads the server's /models list with the key and saves those models.
Calling its models
Use the name you gave the key in front of the model:
{ "model": "my-vllm/llama-3.3-70b", "messages": [ … ] }custom/llama-3.3-70b matches the model on any of your custom keys. If no catalogue model has the same ID, the bare model ID works too. Use Sync models in the key's menu after adding models to the server.
Things to know
- These requests run on your server, so they're never charged credits. Their cost shows as $0 unless you set prices for the models (Enterprise, under Models).
- Routing treats these models as able to do anything a request asks (images, tools, JSON schema, reasoning). Make sure your server can.
- They aren't available on a DevPass.
Checked against the gateway on 31 October 2026. Something wrong or missing? Tell us.