# AI Agent Settings

### AI Agent Settings

Control and update the <mark style="color:green;">name, description, display name</mark> and more for your AI Agent.

This is the <mark style="color:green;">**most important area for your AI chatbot because it is where you will customize the AI agent**</mark> for each client/ business.

<figure><img src="/files/G49LoLAgLTNefRFv4J2X" alt=""><figcaption><p>AI Agent Settings</p></figcaption></figure>

### Name

This is the <mark style="color:green;">internal name of the chatbot</mark> in your account. This name is not seen by users as long as a display name is added as well.

### Display Name

This is the <mark style="color:green;">name shown to users on the chat widget.</mark>

This <mark style="color:green;">user-visible name represents your chatbot</mark>. We advise including 'Al' for clarity. If this is not set, then Chatbot's name will be shown.

### Initial Messages

Enter the chatbot's initial message(s) to users, separated by a new line for multiple messages.

This <mark style="color:green;">message greets users upon their initial interaction with the chatbot.</mark> To add multiple messages, separate them by new lines.

### Initial Messages Popup Delay

Time in <mark style="color:green;">seconds for auto-showing initial message pop-up</mark>. Negative value disables it.

### Conversation Starters

<mark style="color:green;">Predefined clickable messages for user prompts.</mark> Separate multiple messages with new lines.

<mark style="color:green;">Example:</mark> "What type of documents can I upload to the Knowledge Base"

<figure><img src="/files/b51TU0g277RYNZGYdKDI" alt=""><figcaption><p>Coversation starter</p></figcaption></figure>

**Chat Widget Pop Up**

When enabled this <mark style="color:green;">will open the entire chat widget</mark> to the user on the webpage.

### Advanced Settings for AI Agent

The <mark style="color:green;">Advanced settings are found</mark> in the "Update" section of each AI chatbot.

Here are all the items you can edit inside of the advanced settings. <mark style="color:green;">By default we add all of the most optimal settings to every chatbot when created.</mark> If you want to customize the bot even further, this is a good place to start.

<figure><img src="/files/7JFvawPyUXnj9h1WGSdJ" alt=""><figcaption><p>Advance settings</p></figcaption></figure>

{% hint style="info" %}
Use this setting cautiously, and ensure that only individuals experienced in AI handle it, as utilizing these functions significantly impacts the AI’s ability to generate responses effectively.
{% endhint %}

### Model Version

Select the <mark style="color:green;">AI LLM model</mark> you wish to use for your AI chatbots.

<figure><img src="/files/d8GP0ayUkbpgwn2gHbl5" alt=""><figcaption><p>AI Models</p></figcaption></figure>

<mark style="color:green;">**What is a Model?**</mark>

The word 'model' refers to the <mark style="color:green;">different AI software being used to power your AI Agents.</mark>

<mark style="color:green;">**What's the Difference?**</mark>

<mark style="color:green;">Each model comes with its own unique cost and abilities.</mark> The most powerful AI model is GPT-4o and the most affordable AI model is GPT-3.5.

This is where you can select between the current available models from OpenAI.

{% hint style="info" %}
If you cannot find the appropriate AI model, it is likely not included in your current subscription plan, making it unavailable for use.
{% endhint %}

#### <mark style="color:green;">Pros of GPT-3.5, GPT-4U, and GPT-4 Turbo for Business Use Cases</mark>

Given that these AI agents are designed to <mark style="color:green;">assist companies in customer support and sales</mark>, the advantages of each model can be evaluated based on these business-specific needs.

<mark style="color:green;">**GPT-3.5**</mark>

* 1 response = $0.01 /message
* <mark style="color:green;">Cost-Effective for High Volume:</mark> Ideal for handling large numbers of customer queries efficiently, making it suitable for businesses with high traffic and cost-sensitive budgets.
* <mark style="color:green;">Quick Responses:</mark> Provides fast answers for straightforward FAQs or repetitive customer queries.
* <mark style="color:green;">Basic Task Handling:</mark> Can efficiently manage tasks like providing product details, checking order statuses, or answering simple policy-related questions.
* <mark style="color:green;">Low Implementation Complexity:</mark> Easy to set up and sufficient for businesses that don’t require advanced or nuanced interactions.

<mark style="color:green;">**GPT-4o**</mark>

The <mark style="color:green;">most powerful model to use for advanced uses</mark> cases and function calling.

* 1 response = $0.04 /message
* <mark style="color:green;">Best used for all use cases</mark>
* <mark style="color:green;">Multimodal Capabilities:</mark> Can process and respond to both text and image inputs, which is invaluable for e-commerce or technical support.
* <mark style="color:green;">Enhanced Creativity:</mark> Excellent for crafting engaging sales pitches, personalized messages, or marketing copy to attract customers.
* <mark style="color:green;">Complex Problem-Solving:</mark> Handles nuanced queries and provides detailed explanations, improving customer satisfaction.

<mark style="color:green;">**GPT-4 Turbo**</mark>

* 1 response = $0.08 /message
* <mark style="color:green;">Enterprise-Level Scalability:</mark> Designed for businesses managing large-scale operations with high customer interaction volumes while maintaining speed and accuracy.
* <mark style="color:green;">Extended Context Understanding:</mark> Can process larger customer histories or complex sales inquiries without losing track of the conversation, leading to more personalized interactions.
* <mark style="color:green;">High Precision:</mark> Reduces errors in responses, critical for handling sensitive topics like billing issues, legal policies, or complex sales agreements.
* <mark style="color:green;">Sales Optimization:</mark> Great for generating tailored upselling or cross-selling opportunities based on detailed product data or customer preferences.
* <mark style="color:green;">Cost Efficiency for Advanced Tasks:</mark> While pricier than GPT-3.5, it offers a balance of cost and performance for businesses that need advanced capabilities at scale.

### Prioritize Question/Answer Results

When enabled this feature will <mark style="color:green;">prioritize the data found in the question and answer section</mark> of the knowledge base.

The <mark style="color:green;">chatbot's responses by placing a higher emphasis on delivering precise answers</mark> to user questions.

Prioritize <mark style="color:green;">question/answer results over others when querying the chatbot.</mark>&#x20;

<figure><img src="/files/4ONm2SlZ259ShtzSRas2" alt=""><figcaption><p>Prioritize Questions</p></figcaption></figure>

{% hint style="info" %}
Currently in experimental phase.
{% endhint %}

### Temperature

Temperature parameter for the GPT Chatbot API.

<mark style="color:green;">Temperature parameter for the GPT Chatbot Completion API. determines the randomness of the response.</mark>

A low value (close to 0) makes the output more deterministic and conservative, while a higher value (up to 2) makes the output more diverse and creative.

For most businesses setting the temperature to 0.05 to 0.20 will be a good place to start testing.

<mark style="color:green;">**Feature Description:**</mark> Temperature Setting for the Chat Box

The <mark style="color:green;">temperature setting in the chat box controls the randomness and creativity of the AI model’s responses.</mark> Recently, the numeric input for this setting was replaced with a slider, making it easier to adjust.

<figure><img src="/files/oGjpDd5vMk1xpjPjg5t7" alt=""><figcaption></figcaption></figure>

**What Does the Temperature Setting Do?**

<mark style="color:green;">Lower Temperature (Closer to 0):</mark>

* Makes the model’s responses predictable and consistent.
* Best suited for business use cases where reliability and accuracy are essential.

<mark style="color:green;">Higher Temperature (Closer to 1 or 2):</mark>

* Makes the responses more varied, creative, and less predictable.
* Suitable for scenarios where a bit of creativity is beneficial, but higher values (like 1 or 2) are rarely practical for most applications.

<mark style="color:green;">**Range of the Setting**</mark>

* The temperature slider technically supports a range between 0 and 2.
* While OpenAI documentation references both 0–1 and 0–2 ranges, setting the value to 2 is uncommon and generally not recommended for most business cases.

<mark style="color:green;">**Recommended Usage**</mark>

1. **Start at 0 (Default Setting):**

* For most business-related use cases, start with a temperature of 0 for consistent and predictable results.

2. **Gradual Adjustments:**

* Once the chatbot behaves as expected, experiment by incrementally increasing the temperature (e.g., 0.2) to introduce a small degree of creativity if needed.
* Adjust settings one at a time (either the prompt or the temperature) to evaluate their impact effectively.

3. **Avoid Extreme Values:**

* Values close to 1 or 2 typically lead to overly random and unpredictable outputs, which are rarely suitable for professional applications.

#### <mark style="color:green;">Feedback and Edge Cases</mark>

If you find a use case where setting the temperature higher (e.g., 1 or 2) delivers value, we encourage you to share your experience. Understanding unique scenarios helps improve the platform and refine recommendations.

<mark style="color:green;">Conclusion</mark>

* For business use cases, a lower temperature (default: 0) is recommended for predictability.
* For tasks requiring slight creativity, consider small increases (e.g., 0.2).
* Avoid extreme settings unless you have a specific use case that demands it.

The <mark style="color:green;">temperature setting is a powerful way to balance consistency and creativity, ensuring the chatbot aligns with your specific needs.</mark>

### Message Template

This is an <mark style="color:green;">advanced feature for changing how the AI agent fundamentally works.</mark>

{% hint style="info" %}
**Warning: Modify this only if you understand what you are doing.**
{% endhint %}

Modify the template used whenever a message is sent to ChatGPT.

<figure><img src="/files/SpBHb02vQ7eZaiTXIKYo" alt=""><figcaption></figcaption></figure>

The <mark style="color:green;">message template is displaying how the AI chatbot will process data from the knowledge base and add it to your base system prompt.</mark>

If you are looking to create an alternative AI agent that can do different things like classify text, write emails, or any other use case you could imagine.

### Support Email

<mark style="color:green;">Use this email to replace the agency's default support email</mark> for this chatbot, if one exists.

Enter your support email for this chatbot. This will be displayed to users in case of errors or other issues.

### Domains

<mark style="color:green;">Enter the domains on which your Chatbot will work.</mark> Separate multiple domains with commas.

<mark style="color:green;">This feature is closely related to Visibility.</mark>

If a website visibility is set to public, then this section does not apply.

If embedding the chatbot on a website, enter the exact domain URL in this format: '<https://yourdomain.com>'

### Show Data Sources in Chat Widget

<mark style="color:green;">Enable to show the data sources of the chatbot's response in the chat widget.</mark>

When an <mark style="color:green;">AI agent responds and is shown to a user, a little dropdown menu toggle will show up underneath the message response showing the links</mark> to where the AI agent found the answers.

This is <mark style="color:green;">only available for public websites scraped</mark> with the AI agent scraper.

### Debug Mode

This is <mark style="color:green;">helpful to enable when testing a new AI agent to see what data is being sent to OpenAI.</mark>

<mark style="color:green;">Enable Debug mode to display both the search results</mark> generated by the query and the data exchanged with the ChatGPT API for troubleshooting or analysis purposes.

&#x20;


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# Agent Instructions: 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://docs.gpt4business.ai/getting-started/ai-agent-settings.md?ask=<question>
```

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.
