Writer
Text generation
Generates text using a Writer model. Use for completions, summaries, or creative writing.
This workflow automates content creation while ensuring appropriate tone and messaging for different marketing channels.
This workflow provides automated, personalized customer support responses while maintaining human-like empathy and helpfulness.
The Text generation block returns the generated text as output. You can access this value in the following block as
Overview
The Text generation block generates text using a Palmyra model. Use it for text completions, summaries, creative writing, and more. You provide a prompt, and the model generates a response based on your instructions. You can control the creativity of the output using the temperature setting, and limit the length with the max output tokens field.Common use cases
- Generating summaries or explanations
- Creative writing such as stories, marketing copy, and abstracts
- Expanding or rewriting text
- Answering questions based on a prompt
How it works
- Prompt: Enter the text or instructions for the model.
- Model: Select the model to use for generation. Learn more about the suite of Palmyra models.
- Temperature: Adjusts randomness and creativity. A higher temperature value like 0.7-1.0 makes the output more creative, while a lower temperature value like 0.0-0.3 makes it more deterministic.
- Max output tokens: Sets the maximum length of the generated text.
Examples
Content creation workflow
This example shows a marketing workflow where user input is transformed into professional marketing copy. Blueprint Flow:- UI Trigger → Marketing team submits product details through form
- Text generation → Creates product description based on input
- Set state → Stores generated content for review and approval in the interface
- Prompt: “Create a compelling product description for a @ that highlights its @. Target audience: @. Tone: professional but approachable.”
- Model:
palmyra-x5 - Temperature:
0.7
This workflow automates content creation while ensuring appropriate tone and messaging for different marketing channels.
Customer support response system
This example demonstrates an automated support system that generates personalized responses based on customer inquiries. Blueprint Flow:- UI Trigger → Customer submits support ticket
- Classification → Categorizes the issue type
- Text generation → Creates personalized response based on category
- Set state → Stores response for customer to display in the interface
- Prompt: “Generate a helpful and empathetic response for a customer unable to log into their @. Address common login troubleshooting steps like password reset, browser cache clearing, and two-factor authentication issues. Include links to our password reset tool and support documentation. If these steps don’t resolve the issue, provide instructions for escalating to our technical support team.”
- Model:
palmyra-x5 - Temperature:
0.4
This workflow provides automated, personalized customer support responses while maintaining human-like empathy and helpfulness.
Fields
| Name | Type | Control | Default | Description | Options | Validation |
|---|---|---|---|---|---|---|
| Prompt | Text | Textarea | - | - | - | - |
| Model | Model Id | - | palmyra-x5 | - | - | - |
| Temperature | Number | - | 0.7 | - | - | Range: 0 to 1 |
| Max output tokens | Number | - | 1024 | - | - | Range: 1 to 16384 |
End states
Below are the possible end states of the block call.| Name | Field | Type | Description |
|---|---|---|---|
| Success | - | success | If the function doesn’t raise an Exception. |
| Error | - | error | If the function raises an Exception. |
@{result}.