Prompt Templates

Create and manage your AI prompts with powerful templating features. Each prompt can have multiple versions to help you iterate and improve your AI interactions.

Use Cases

Prompt Templates serve two primary use cases:

1. Application Logic Integration

Use prompt templates when you need to integrate AI processing into your application's business logic. For example:

• Content classification and categorization
• Data extraction and transformation
• Automated analysis and summarization
• Custom AI-powered workflows

In this case, your application makes direct API calls to specific prompt templates, processes the responses, and integrates the results into your application flow.

2. Interactive Chat Applications

Use prompt templates to define and control the behavior of AI assistants in chat-based applications. This allows you to:

• Create specialized chat assistants with defined roles and capabilities
• Maintain consistent personality and response patterns
• Control conversation flow and boundaries
• Switch between different conversation modes using versions

When used in chat applications, the prompt template overrides the default chat behavior, ensuring your AI assistant maintains its designated role and follows your specified guidelines.

Overview

Prompt Templates provide a structured way to create, version, and manage your AI prompts. They enable you to:

• Maintain multiple versions of each prompt
• Configure model parameters for optimal performance
• Define variables for dynamic content
• Track and compare prompt performance

Creating Prompts

Each prompt template consists of several key components:

Basic Configuration

• Name: A unique identifier for your prompt
• Description: Brief explanation of the prompt's purpose
• Labels: Optional tags for organization and filtering

Model Settings

Configure how your prompt interacts with the AI model:

1. Default Model: Choose the base model for your prompt
2. Streaming: Toggle streaming responses on/off
3. Temperature: Adjust from 0 (focused) to 1 (creative)
4. Max Tokens: Set the maximum response length
5. Top P: Control response diversity
6. Frequency/Presence Penalty: Fine-tune response patterns

System Message

Define the AI's role and behavior with a system message that includes:

• Role definition
• Behavioral rules
• Context boundaries
• Response format requirements

Conversation Flow

Structure your prompt with:

• Message Pairs: Define conversation turns between user and assistant
• Variables: Create dynamic placeholders for user input
• Tools: Configure available tools and capabilities

Version Management

Iterate and improve your prompts with versioning:

• Multiple Versions: Maintain different variations of the same prompt
• Version History: Track changes and improvements
• A/B Testing: Compare performance between versions
• Active Version: Designate the current production version

Running Inference

Test and validate your prompts:

1. Preview Mode: Test prompts before deployment
2. Version Comparison: Run the same input across different versions
3. Performance Metrics: View token usage and response statistics
4. Real-time Testing: Get immediate feedback on prompt changes

Best Practices

1. Version Control

   • Create new versions for significant changes
   • Keep track of what changes between versions
   • Document improvements and learnings

2. System Messages

   • Be specific about the AI's role
   • Define clear boundaries and rules
   • Specify expected output formats

3. Variables

   • Use descriptive variable names
   • Provide default values when appropriate
   • Document expected variable formats

4. Testing

   • Test with various inputs
   • Compare version performance
   • Monitor token usage and costs

Security and Access Control

Prompt templates include several security features:

• Access control based on user roles
• Version locking for production prompts
• Audit logs for prompt changes
• Secure variable handling