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Admin › Settings › Models
Manage the list of models from the LLM providers registered in Connections.
  • From this tab, control individual model activation, customization, display order, and default model selection.
Model management tab

Manage all connected models in one place — activate, customize, order

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Model List

Shows Workspace models (admin-created/customized) combined with Base models (system models pulled from connected APIs).
  • You can filter by name/ID with the Model Search input at the top of the list.
Each model row also shows dependency badges counting the agents, flows, and evaluations that reference it (e.g. Agents 6, Flows 1, Evaluations 9), so you can see at a glance where the model is used (the same dependency information as Used by at the bottom of the model editor).

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Hide Model (Shift+Click)

Hold Shift and click the icon in a model row to toggle hide/show. Hidden models are managed as meta.hidden and don’t appear in the user’s model picker.
Hidden and Disabled are separate features. Hidden removes from the model picker; Disabled makes the model itself unavailable.

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Default Model and Order

Click the settings (gear) icon at the top-right of the model list to open the model settings modal.

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Activate / Deactivate Models

Use per-model Enabled / Disabled toggle (Switch) to expose only needed models to users.
Disabled models don’t appear in the user’s model picker dropdown. Disabling a model that’s set as an agent’s base model doesn’t affect agent execution.

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Model Customization

Click the edit (pencil) icon on a model row to customize that model.
Knowledge base, database, tool, and glossary connections and auto-evaluation are agent-only. They aren’t offered in the admin model editor — configure them under Workspace > Agents. The only runtime resource applied from the model editor is guardrails.
Customizing a model creates a Workspace setting record for that model. Unlike agents, this doesn’t directly modify the base model — it adds an override configuration.

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Controlling Models Visible to Users

Use Hide to temporarily conceal from the list only; use Disable to fully block use. (For the difference between the two, see the “Hide Model” description above.)

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Token Limits

Limit daily token usage per model to manage AI usage cost.
  • Set the global default with the Token Limit button at the top-right of the model list.
  • Set per-model limits with the Token Limit dropdown on each model row.

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Global Token Limit (Token Limit button)

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Per-Model Limits

Set an individual daily limit for a model with the Token Limit dropdown on its row. Models without one follow the default daily token limit above.
Admin role users are excluded from token limit checks. Limits can be set at 4 levels — global, user, group, organization — and when set in multiple places, the most permissive (highest) value applies. Check per-user and per-model usage in the usage tab of User Management.

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Ollama Model Management

Click the download icon at the top of the model list to open the Ollama model management modal.
When multiple Ollama instances are connected, you must first pick the instance to manage.

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Model Preset Import / Export

Back up and restore model settings as JSON.
  • This feature is admin-only.
Import overwrites existing model settings. Always Export to back up first.
Only models with null base_model_id (Workspace custom settings) are imported. Agents (which reference another model via base_model_id) aren’t imported in this tab — import them separately under Workspace > Agents.
Click Reset All Models at the bottom of the settings modal (gear) to delete all Workspace custom settings. Connected base model lists are preserved, but customizations like name/description/prompt are all reset.

Connections

Configure LLM provider API connections

Agents

AI assistants combining Knowledge Bases, tools, and guardrails on top of a model

Usage

Per-model token usage and cost analysis