Configure AI models

Choose a model slot

Open Settings → Providers. Configure the model slots used by your deployment:

• Reasoning model: primary security analysis.
• Fast model: supporting tasks and extraction.
• Embeddings model: repository memory and semantic recall.
• Vision model: optional visual fallback.
• Exploit specialist model: optional exploit construction and verification.

Save a connection

1. Select Configure or Set up on the slot.
2. Choose the adapter and API format. Enter its endpoint, model identifier, and credentials. Use a model identifier offered by that endpoint.
3. Select Test connection and review the prerequisite checks.
4. Select Save connection. Changes apply across the deployment.

Use Advanced settings for pricing overrides, reasoning modes, and extra request JSON. These values must match the endpoint’s API. See Chat model fields, Embedding fields, and Vision fields.

Understand effective configuration

An environment-configured connection is marked Environment configuration. Saving it creates a Settings override. Removing that override restores the environment configuration when one exists. Pasted credentials are encrypted; blank saved credential fields retain their current value.

Editing a connection invalidates its current test result. After saving, check the row’s test state and timestamp.