Running on your own model

In Settings, a workspace can use its own model instead of ours: an OpenAI-compatible endpoint, the Claude API, Azure OpenAI, Vertex AI or Amazon Bedrock, with the credential that kind takes. It answers the questions a run puts to a model. Search embeddings stay ours, so a release is always compared with queries embedded the same way. Its calls don't count against your monthly AI allowance.

The credential stays where you put it. It is encrypted, never shown again, and only sent to the address it was saved for: change the address and the credential has to be entered again. An address on a private or internal network is refused.