- Validating prerequisites and supported providers
- Choosing a workspace-wide default model
- Setting workflow-level defaults and coordinator overrides
- Verifying the cascade through the UI and execution logs
- Rolling back safely when governance needs change
Use this guide alongside the Workflow Execution Control and Agent Session docs to understand how defaults are enforced during runtime.
Prerequisites
- Workspace admin access to edit Account → Settings.
- Published agents and workflows that use the default model placeholder so they can inherit new defaults automatically.
- An active custom LLM Model from Anthropic or AWS Bedrock if you run steps with the Claude engine. The model must belong to the current workspace and cannot be a system model. See LLM Models for compatible configuration options.
Step 1: Choose workspace defaults
1
Open workspace settings
Navigate to
Account → Settings and locate the Default LLM Model and Default Claude Engine Model fields.2
Choose the main workspace default
Use Default LLM Model to select the main model for the workspace (e.g.,
gpt-4.1).3
Choose the Claude workspace default
If you use the Claude engine, select an active Anthropic or AWS Bedrock custom model in Default Claude Engine Model. This selection is separate from Default LLM Model and does not change the default used by the Overcut engine.
4
Save and capture evidence
Click Save Changes.
Setting the workspace defaults means workflows that leave their metadata field empty or set to the default model placeholder inherit the applicable choice automatically.
Claude engine model resolution
The Claude engine checks these settings in order and uses the first model that is not set to the default model placeholder:- Coordinator override
- Agent model
- Workflow default
- Default Claude Engine Model
- Default LLM Model
Step 2: Override specific workflows
Some workflows (e.g., code review or red-team testing) may require a stronger or different model.1
Edit Workflow Metadata
In the workflow builder, click the canvas to open the Workflow Settings and find the Default LLM Model selector.
2
Select a workflow default
Choose a model key (for example
gpt-5.1-codex) and save the workflow.3
Save the workflow
Click
Save.When set, agents and coordinators left on the default model placeholder fall back to the workflow default.
Workflows left on the default model placeholder continue to fall back to the workspace default.
Step 3: Configure coordinator overrides
Use coordinator overrides when a multi-agent session needs a faster planning model, but its child agents should continue using the workflow default.- When not set, the coordinator will fall back to the workflow default, or the workspace default if the workflow default is not set.
- Keep overrides scoped to steps that truly benefit from a different coordinator model.
- Child agents never inherit the coordinator override; they evaluate their own
modelKey→ workflow default → workspace default chain.
Step 4: Configure agent overrides
Use agent overrides when an agent needs a different model than the workflow default.1
Edit Agent Settings
In the “Agent Roles” menu, select an agent to edit its settings.
2
Select a model
Choose a model key (for example
gpt-5.1-codex) and save the agent.- When not set, the agent will fall back to the workflow default, or the workspace default if the workflow default is not set.
Next steps
- Review the Building Blocks guide to see how agents inherit models.
- Learn how execution locks and priorities interact with these defaults in Workflow Execution Control.
- Share compliance outcomes via the Privacy & Security guidance.