Custom Prompts

The Custom Prompts feature allows you to define specific instructions for your chatbot at a node level. This enables greater control over how the chatbot interacts with users by tailoring its responses to specific scenarios or tasks.

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What Are Custom Prompts?

Custom prompts are node-specific instructions that modify the chatbot’s behavior and responses. By creating custom prompts, you can:

• Define specific tones, styles, or objectives for each node.
• Tailor responses to match the context of a conversation.
• Combine prompts with tools and variables to make interactions dynamic.

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Creating Custom Prompts

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1. Using the Text Editor

Custom prompts are written directly in the Text Editor of a node. The Text Editor allows you to:

• Write instructions for the chatbot in plain text.
• Insert variables and tools dynamically using the { shortcut.

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Steps:

1. Open the node’s settings and go to the Overview tab.
2. In the Instructions field, write the prompt for that node.
3. Use { to insert variables or tools dynamically.

Example:

Hello {user_name}, I see you’re interested in {product_name}. How can I assist you further?

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2. Combining with LLM Configuration

Enhance your custom prompts by adjusting the LLM Configuration for the node:

• Temperature: Adjust creativity or randomness in responses.
• Max Tokens: Limit the length of responses.
• Rewind Level: Allow the chatbot to recall context from previous nodes.

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Example:

• Set a custom prompt: “Provide concise and fact-based responses.”
• Adjust the Temperature to 0.3 for precise, non-creative answers.

Visual Placeholder:

Image showing LLM settings paired with a custom prompt.

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Examples of Custom Prompts

1. Customer Support:

   Hi {user_name}, how can I assist you today? Please be as specific as possible.
   

2. FAQ Assistance:

   Based on our knowledge base, here is what I found for {query_topic}.
   

3. Appointment Scheduling:

   Let’s schedule your appointment. What date and time works best for you?
   

4. E-Commerce Recommendation:

   I recommend {product_name} for your needs. Would you like to add it to your cart?
   

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Testing Custom Prompts

Once created, test your custom prompts to ensure they generate the desired responses:

1. Use the Test Tool in the Canvas Workspace.
2. Input sample user queries and observe the chatbot’s response.
3. Adjust prompts or configurations as needed for better results.

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Best Practices for Custom Prompts

• Be Specific: Write clear and concise instructions for the chatbot.
• Use Variables: Incorporate dynamic data for personalized responses.
• Adjust LLM Settings: Pair prompts with appropriate temperature and token limits for optimal behavior.
• Test Thoroughly: Simulate various user scenarios to refine prompts.

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Example Flow with Custom Prompts

Scenario: An e-commerce chatbot flow:

1. Start Node: Greets the user with a custom welcome prompt.
2. Product Node: Recommends products based on user input.
3. FAQ Node: Provides detailed answers from the knowledge base.
4. End Node: Thanks the user and summarizes the session.

Ready to optimize your chatbot further? Explore Models Configuration to fine-tune your AI’s performance.