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⚒️Text Agent Settings Overview

Text agents in Dapta can be customized using several settings. Each setting controls a specific part of how your agent looks, behaves, or responds to users.

This guide explains each setting in simple terms, what it controls, and how it affects your agent after it has been created.

Important concept to understand first Once an agent is created, the prompt becomes the source of truth. Some settings only help generate the initial prompt and do not automatically change agent behavior afterward.

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Language

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What this setting controls

The Language setting controls the language of the chat widget interface, such as:

  • Button labels

  • Placeholder text

  • System UI text shown to users

It does not control the language your agent speaks.

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How agent language actually works

When a text agent is created, the language it uses to communicate is defined inside the agent prompt.

After the prompt exists:

  • Changing the Language setting will not change how the agent responds

  • The agent will continue using whatever language rules are written in the prompt

This works the same way as the Agent Purpose setting.

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How to change the agent’s language

To make an agent:

  • Speak a different language, or

  • Support multiple languages

You must update the agent prompt.

You can do this by:

  • Editing the prompt manually, or

  • Using Improve with AI to rewrite the prompt with the new language instructions

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Multilingual agents

Agents can be multilingual if this behavior is defined in the prompt.

For example:

  • Respond in English when the user writes in English

  • Respond in Spanish when the user writes in Spanish

This cannot be enabled using the Language setting alone.

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Common mistake

Changing the Language setting and expecting the agent to automatically start responding in that language.

If the prompt is not updated, the agent’s behavior will not change.

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Identity Name (Agent Name)

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What this setting controls

The Identity Name is the name of your agent, which defines how it identifies itself during conversations.

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How it works

  • When you create an agent, you are prompted to enter its name

  • This name is stored inside the agent prompt, not as a separate system field

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Editing the agent name after creation

Changing the Identity Name setting alone does not update the agent.

To rename an agent after it has been created, you must:

  • Edit the name directly inside the prompt, or

  • Use Improve with AI to update the name across the entire prompt

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Best practices

  • Use human-friendly names

  • Match the name to the agent’s role (for example, support, sales, scheduling)

  • Keep naming consistent across agents

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Agent Purpose

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What this setting controls

Agent Purpose helps you generate an initial prompt based on a common use case.

Available purposes include:

  • Ecommerce Sales Agent

  • Set Up My Own Assistant

  • Qualify Inbound Leads

  • Support Sales Inquiries in Ecommerce

  • Customer Service and Support

  • Website Q&A Assistant

  • Schedule Meetings

  • Confirmations

  • Reminders

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Important behavior to understand

Once the agent prompt is created:

  • Changing the Agent Purpose does not automatically update the prompt

  • The agent will continue behaving according to the original prompt

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How to change an agent’s role

If you want your agent to perform a different task:

  • Use Improve with AI to rewrite the prompt for the new purpose, or

  • Manually edit the prompt to reflect the new behavior

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Common mistake

Changing the Agent Purpose dropdown and expecting the agent’s behavior to change without updating the prompt.

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Model

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What this setting controls

The Model setting determines which AI model powers your agent.

Different models can vary in:

  • Speed

  • Cost

  • Reasoning quality

  • Response accuracy

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How to choose a model

There is no single best model for all use cases.

The best approach is to:

  • Test different models using real conversations

  • Evaluate performance based on your specific needs

  • Upgrade only if you notice limitations

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Best practice

Start with a default model, test real interactions, and switch models only if needed.

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Temperature (Creativity Level)

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What this setting controls

Temperature controls how creative or strict your agent is when generating responses.

You can think of it as a creativity dial.

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Low temperature

  • More predictable responses

  • Follows instructions very closely

  • Best for structured tasks such as:

    • Customer support

    • Lead qualification

    • Data collection

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High temperature

  • More flexible and creative responses

  • More conversational tone

  • Best for:

    • Brainstorming

    • Open-ended conversations

    • More natural dialogue

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Best practice

  • Use lower temperature when accuracy and consistency matter

  • Use higher temperature when creativity and tone are more important

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Key Takeaways

  • The prompt controls behavior, not the settings alone

  • Language and purpose changes must be made inside the prompt

  • Identity Name lives inside the prompt

  • Temperature controls creativity, not intelligence

  • Model choice should be based on real testing

PreviousSetting Up your Text AgentNextText Agent Actions

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