Prompts in Hyperleap AI are pre-configured instructions that guide AI responses for your specific use cases. They act as templates that can be reused across your organization, ensuring consistent and accurate AI interactions while reducing prompt engineering effort.

Simple 4 step process to start using prompts

1

Create and Configure

Design your AI feature in our API Console.

  • Define the prompt template, add dynamic variables or import pre-configured prompt from prompt library
  • Set your preferred AI model
  • Add Sources to provide context
  • Fine tune the prompt configuration

Detailed Guide: Create and Configure Prompt

Learn the step-by-step process of creating and configuring your first prompt

2

Save and Test

After configuration, your prompt will have a dedicated REST API endpoint. You can test each prompt in our playground prior to deployment.

  • After testing, you can publish the prompt to your teamspace for reuse by other users
3

Integrate via API

To integrate with the API, perform a REST API call from your application. Send your variables in a JSON format, and the system will handle the AI context and state management. This is compatible with any programming language or framework.

// Example API integration using JavaScript
const response = await fetch('https://api.hyperleapai.com/prompt-runs/execute', {
  method: 'POST',
  headers: {
    'x-hl-api-key': 'your_api_key_here',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    prompt_id: 'your_prompt_id',
    prompt_version_id: 'your_prompt_version_id',
    replacements: {
      variable_name: 'variable_value'
      ...
    }
  })
});

const result = await response.json();

For detailed API specifications and more examples, check out our Prompts API Reference. You’ll find complete documentation of all available endpoints, parameters, and response formats.

4

Deploy and Monitor

Ensure your prompts deliver consistent responses as configured. You can monitor usage, track costs, and adjust settings without code changes. Access audit logs to review interactions and gather feedback for continuous improvement.

How Prompts Work

Understand how prompts work in Hyperleap AI under the hood

Input Processing

Your prompt template receives inputs from your configured fields. These inputs are validated and prepared for processing.

Variable Substitution

Dynamic variables in your prompt are replaced with actual values, allowing for flexible and reusable prompt templates.

Context Integration

Relevant context from your connected data sources is incorporated, enriching the prompt with necessary background information.

AI Processing

The final prompt is processed by our AI engine to generate responses, leveraging advanced language models for optimal results.

Common Use Cases

Content Generation

Create templates for consistent content creation across different formats

Data Analysis

Structure prompts for extracting insights from data

Customer Support

Design response templates for common customer queries

Process Automation

Build prompts for automated decision-making workflows

Troubleshooting

Common issues you might encounter and how to resolve them:

Next Steps

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