> For the complete documentation index, see [llms.txt](https://learn.doubletick.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://learn.doubletick.io/ai-agent/how-to-create-a-new-ai-agent/settings-how-to-configure-your-ai-agents-model-reasoning-fallback-and-voice.md). # Settings - How to Configure Your AI Agent's Model, Reasoning, Fallback, and Voice The Settings tab gives you control over how your AI Agent thinks, responds, and handles situations it cannot resolve. It has two sub-tabs: Text (for chat settings) and Voice (for call settings).

#### **How to Select the AI Model** 1. Under the Model section, click the Model dropdown. 2. Select the model you want to power this agent.

Model	Best For
GPT-4o Mini	Fast, lightweight responses for simple FAQs
GPT-5.4 (recommended)	Best intelligence for professional workflows — handles complex queries well
GPT-5.4 Mini	Balanced cost and quality for general use
GPT-5.4 Nano	Most cost-efficient option for high-volume simple interactions

GPT-5.4 is recommended for most use cases. If your agent handles mostly simple FAQ-type questions, GPT-4o Mini or GPT-5.4 Nano can reduce costs. *** #### **How to Set Context Messages**

1. Under the **Conversation** section, locate the **Context Messages** setting. 2. Use the minus and plus buttons to adjust the number. This controls how many previous messages the agent remembers during a conversation. **More context = better continuity in long conversations, but higher cost per message**. For most businesses, 20 is a good starting point. *** #### **How to Configure Agent Settings**

Under the Agent section, you will find four settings:

Setting	What It Does
Max Reasoning Steps	Maximum number of tool calls the agent can make per message. Increase if your agent needs to look up multiple pieces of information per reply
Include All Tools	When on (green), all enabled tools are passed to the agent with every message. When off, tools are passed selectively
Reasoning Effort	Controls how deeply the agent thinks before responding
Show reasoning summary in test mode	When on, the Test Chat shows a summary of the agent's reasoning steps — useful for debugging

#### **How to Set the Reasoning Effort** 1. Under the Agent section, click the Reasoning Effort dropdown. 2. Select the level that matches your needs.

Option	What It Means	Cost
Default (model decides)	The model automatically chooses the effort level	Varies
None (disable reasoning)	Agent responds immediately without extended thinking	Cheapest
Low	Minimal thinking — for simple queries	Low
Medium	Balanced thinking — for most use cases	Medium
High	Deep reasoning — for complex or nuanced questions	Highest

Use High only when necessary. For a simple FAQ-based agent, Low or Default is usually sufficient. *** #### **How to Enable Web Search**

1. Under the **Web Search** section, locate the **toggle**. 2. Click it to turn it on (green). When enabled, the **agent can search the internet in real time to answer questions not found in its knowledge base**. This slightly increases response time and cost. *** #### **How to Configure the Fallback (Default Intent Behavior)**

The fallback defines what happens when the agent cannot confidently answer a customer's question. This is one of the most important settings to configure. 1. Under the Fallback section, click the Configure button. 2. Bot Studio opens with a visual flow editor. A typical fallback flow looks like this: **Step 1 — Starting Point.** Already configured. Set to trigger on "no intent match." **Step 2 — Add a Working Hours Condition block.** This checks whether it is currently within your business hours. The flow then branches into three paths: **During Working Hours path:** 3. Add a Send Message block — for example: "Let me connect you with a team member who can help." 4. Add an Assign Agent block — select the team members and assignment method. **Outside Working Hours path:** 5. Add a Send Message block — for example: "Our team is currently unavailable. We will get back to you as soon as possible." **On Holidays path:** 6. Add a Send Message block with a holiday-specific message, if needed. 7. Save the journey. Without a fallback configured, the agent will have no way to handle questions it cannot answer — the customer will be left without a response. Always set this up. *** #### **How to Add Custom Fields**

Custom fields let the agent access real customer data — like their name, phone number, or tags — and use it to personalise responses. 1. Under the Custom Fields section, click the "Select custom fields..." dropdown. 2. Select the fields you want the agent to have access to. For example, if you add the customer's name as a custom field, the agent can greet them by name instead of using a generic greeting. *** #### **Summary** In this article, you learned how to select the AI model, set conversation memory, configure reasoning effort and web search, set up the fallback behaviour for when the agent cannot answer, add custom fields for personalisation. In the next article, we will cover how to test your AI Agent before going live. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://learn.doubletick.io/ai-agent/how-to-create-a-new-ai-agent/settings-how-to-configure-your-ai-agents-model-reasoning-fallback-and-voice.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.