ZBrain Documentation
  • ZBrain Documentation
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            • How to Define a Flow?
            • How to Test Each Step in the Flow?
          • Configure Additional Settings
          • Test and Deploy Agents
          • How to access, monitor, and manage agent performance and tasks?
      • 💻Prompts
        • How to create a prompt
        • How to manage and monitor prompts
        • How to manage prompt versions and restore previous versions
        • User management: How to assign prompt permissions?
      • 📺Monitor
      • 🔐Security features
      • Settings
      • 📖API tutorials
        • 📚Knowledge base
          • Automated reasoning
        • 📱APP
        • 🤖Agents
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Prompts

Prompts are pre-defined instructions that guide large language models to generate specific responses tailored for targeted tasks or functions. They serve as templates that define the parameters, tone, and purpose behind how AI solutions interpret and respond to user inputs.

ZBrain’s Prompt Manager centralizes the creation, organization, and deployment of prompts, ensuring consistent and high-quality interactions across applications. Its intuitive interface allows organizations to efficiently manage prompt libraries and oversee configurations with ease. With a version-controlled repository of customizable templates, ZBrain provides full control over model behavior, promoting consistency, reusability, and adherence to quality standards. This approach enhances AI integration and significantly improves the performance and reliability of language model applications across the enterprise ecosystem.

Key capabilities

Prompt creation & management

Easily create new prompts from scratch or customize existing ones using an intuitive UI. Prompts support dynamic elements like variables, system instructions, multi-step flows, and conditional logic to guide model behavior effectively for more dynamic interactions.

Model configuration

Choose from a wide range of AI providers and models, customize parameters, and gain transparent insight into inference pricing to manage usage and control costs effectively.

Version control

Maintain multiple versions of each prompt for easy testing, iterative improvements, and quick rollbacks. This ensures flexibility and control over prompt behavior, allowing for continuous improvement.

Testing and optimization

Run real-time tests within the Prompt Editor to validate outputs before deployment. Fine-tune for accuracy, tone, and relevance to ensure your AI solutions deliver the desired results.

Prompt integration within ZBrain apps

Prompts can be used within ZBrain applications, ensuring consistent, accurate responses that align with user intent and achieve desired outcomes.

Usage analytics

Gain comprehensive insights into prompt performance and resource consumption through intuitive dashboards that help you track usage trends, optimize costs, and ensure efficient model execution.

User management

Manage user access to prompt templates, ensuring secure collaboration and efficient management of prompts across teams.

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Last updated 12 hours ago

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