Learn how to create, manage, and optimize AI prompts in Hyperleap AI
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
Create and Configure
Design your AI feature in our API Console.
Learn the step-by-step process of creating and configuring your first prompt
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.
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.
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.
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.
Understand how Prompts work in Hyperleap AI under the hood
Your Prompt template receives inputs from your configured fields. These inputs are validated and prepared for processing.
Dynamic variables in your Prompt are replaced with actual values, allowing for flexible and reusable Prompt templates.
Relevant context from your connected data sources is incorporated, enriching the prompt with necessary background information.
The final Prompt is processed by our AI engine to generate responses, leveraging advanced language models for optimal results.
Create templates for consistent content creation across different formats
Structure prompts for extracting insights from data
Design response templates for common customer queries
Build prompts for automated decision-making workflows
Common issues you might encounter and how to resolve them:
Variable Substitution Errors
Issue: Prompt variables not being replaced with actual values.
Solutions:
{{variableName}}
Context Length Exceeded
Issue: Total Prompt length including context exceeds model limits. Solutions: - Reduce context length by summarizing or chunking data - Use shorter Prompt templates - Consider using our automatic context truncation feature - Monitor token count in Studio before deployment
Response Format Mismatch
Issue: AI responses not matching expected format structure.
Solutions:
Access our Prompt library and use pre-configured Prompts
Learn how to integrate Prompts programmatically using our API
Manage your Prompts through our intuitive web interface - no coding required
Learn how to create, manage, and optimize AI prompts in Hyperleap AI
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
Create and Configure
Design your AI feature in our API Console.
Learn the step-by-step process of creating and configuring your first prompt
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.
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.
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.
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.
Understand how Prompts work in Hyperleap AI under the hood
Your Prompt template receives inputs from your configured fields. These inputs are validated and prepared for processing.
Dynamic variables in your Prompt are replaced with actual values, allowing for flexible and reusable Prompt templates.
Relevant context from your connected data sources is incorporated, enriching the prompt with necessary background information.
The final Prompt is processed by our AI engine to generate responses, leveraging advanced language models for optimal results.
Create templates for consistent content creation across different formats
Structure prompts for extracting insights from data
Design response templates for common customer queries
Build prompts for automated decision-making workflows
Common issues you might encounter and how to resolve them:
Variable Substitution Errors
Issue: Prompt variables not being replaced with actual values.
Solutions:
{{variableName}}
Context Length Exceeded
Issue: Total Prompt length including context exceeds model limits. Solutions: - Reduce context length by summarizing or chunking data - Use shorter Prompt templates - Consider using our automatic context truncation feature - Monitor token count in Studio before deployment
Response Format Mismatch
Issue: AI responses not matching expected format structure.
Solutions:
Access our Prompt library and use pre-configured Prompts
Learn how to integrate Prompts programmatically using our API
Manage your Prompts through our intuitive web interface - no coding required