Skip to main content
Cloosphere supports a variety of AI models. Pick the right one for your goal and tune parameters in detail.

How to Select a Model

Choose a model from the dropdown in the chat header.
Chat header model selector

Chat header model selector

1

Open the dropdown

Click the model selection area at the top of the chat.
2

Search and select a model

Pick a model from the list, or type a name in the search box to filter.
3

Set as default (optional)

Click “Set as default” below the model selector to use this model as the default for new chats.
Type @modelname in the input box to ask a specific model directly, regardless of the currently selected model.

Default Model

When you set a frequently used model as default, it’s selected automatically every time you start a new chat.
1

Pick a model

Choose the model you want as default in the dropdown.
2

Save as default

Click “Set as default” below the model selector. A “Default model updated” notification appears.
The default model is per-user. If multiple models are selected when you save the default, the multi-model selection is saved as default.

Multi-model Conversations

Get answers from multiple models for the same question. Including the first one, you can select up to 4 models simultaneously.
Multi-model selection

Multi-model selection

1

Add a model

Click the ”+” button to the right of the first model selector.
2

Pick additional models

Choose models to compare from the new dropdown. Up to 4 total (including the first).
3

Send the question

When you send the message, all selected models generate responses simultaneously.
4

Compare and merge responses

Compare the responses, and use Merge Responses to combine the best answers if needed.
Comparing multi-model responses

Comparing multi-model responses

  • Quality comparison: Compare model performance with the same question
  • Cross-validation: Get multiple opinions before important decisions
  • Best-answer selection: Combine each model’s strengths into the best answer
  • Cost vs. performance: Compare results from low-cost and high-performance models
The multi-model feature can be restricted for regular users by admin settings. If you don’t have permission, the ”+” button isn’t shown.

Tuning Model Parameters

The Chat Controls panel lets you tune model parameters per conversation.

Opening the Panel

The desktop More (⋯) menu only appears after sending the first message. In a fresh chat, send a prompt once to start the conversation, then tune parameters. (Adjusted values apply to subsequent messages.)
Opening the panel with Overview first shows the conversation flow diagram. Click the ← (back) arrow at the top left of the panel to switch to the Chat Controls view, where you can adjust the system prompt and advanced parameters.
Conversation flow diagram in the Overview view

Conversation flow diagram in the Overview view (use the ← arrow at the top to switch to Chat Controls)

Chat Controls panel

Chat Controls panel

System Prompt

Set a system prompt that applies to the entire conversation.

Key Parameters

Setting a fixed seed produces (nearly) identical responses for the same prompt. Useful when you need reproducible results.
When the specified string appears, the model stops generating. Use it to control specific output formats.
Controls response creativity (randomness).Range: 0.0 ~ 2.0 (UI slider initial value: 0.8 — the value shown when switching to custom; this may differ from the model’s actual default)
Applies only to reasoning models. Controls how much effort goes into reasoning.
  • Use values like low, medium, high.
  • Not supported by all models.
Limits the probability range the model considers when picking the next token.
  • 0.1: Considers only the top 10% probability tokens — very focused
  • 0.9: Considers the top 90% — diverse expression
  • Generally used together with Temperature; we recommend tuning only one at a time.
Discourages reuse of tokens that already appeared. Higher values reduce repetition.Range: -2.0 ~ 2.0 (default: 0)
Limits the maximum length of the AI response in tokens. If unset, the model’s default max applies.
Setting it too low can cause responses to be cut off mid-stream.

Other Advanced Parameters

The Chat Controls panel itself is visible to all users, but the System Prompt and Advanced Params sections are only shown to admins or users with the chat-controls permission (permissions.chat.controls).

Model Capability Display

Agent models manage each capability (web search, image generation, code execution) individually. For base models (those without base_model_id), all capabilities enabled by the admin in system settings are shown.