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
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
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 Workspace 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.
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// Example API integration using JavaScriptconst 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.
Common issues you might encounter and how to resolve them:
Variable Substitution Errors
Issue: Prompt variables not being replaced with actual values.Solutions:
Verify variable names match exactly in both Prompt template and input
Check for proper syntax: {{variableName}}
Ensure all required variables are provided in the request
Use the Studio interface to validate variable substitution
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: