Overview
The Models settings page lets you configure which AI providers and models your tenant uses. Connect multiple providers and optionally override the model used for specific tasks.
Provider configuration
Configure one or more AI providers:
| Provider | Required fields |
|---|
| Anthropic | API key |
| OpenAI | API key |
| Google AI Studio | API key |
| Azure OpenAI | Resource name, API key, API version |
| Amazon Bedrock | Region, access key ID, secret access key |
| Google Vertex | Project ID, location |
| OpenAI-compatible | Base URL, API key |
Provider status
| Status | Meaning |
|---|
| Connected | All required fields configured and tested |
| Pending | Partial configuration (some fields missing) |
| Not configured | No fields set |
Testing a connection
After entering credentials, click Test Connection to verify the provider is reachable and the credentials are valid.
Model selection
For each configured provider, select the default model ID to use (e.g., claude-sonnet-4-6, gpt-4o).
Per-purpose model overrides
With Business+ plan, you can override the model used for specific tasks:
| Purpose | Description | Default |
|---|
exploration | Runbook generation | Main model |
exploration-light | Routine exploration steps | Main model |
selector | Selector resolution (high frequency) | Main model |
extraction | Data extraction (high frequency) | Main model |
review | Review and fix suggestions | Main model |
fallback | Agent Fallback | Main model |
vision | Vision Fallback (screenshot-based) | Main model |
Use a faster, cheaper model (e.g., claude-haiku-4-5-20251001) for high-frequency tasks like selector and extraction to reduce cost and latency.