Lyzr’s power comes from its modular and flexible architecture, enabling developers and enterprises to build sophisticated AI agents quickly. Below are the essential components that make up the Lyzr ecosystem:

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1. Agent Builder

The Agent Builder is the heart of Lyzr Studio where you create and configure AI agents. It provides a user-friendly interface to:

  • Define agent name and description for easy identification and purpose clarity
  • Select and configure LLM models from a broad provider list (OpenAI, Claude, Google, and more)
  • Set the agent role and instructions, guiding the agent’s behavior and output style
  • Optionally add tools to extend agent capabilities, such as sending emails, fetching data, or integrating with external systems
  • Attach knowledge bases for domain-specific information, enhancing the agent’s accuracy and relevance
  • Choose from a variety of features to customize agent behavior and performance

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2. Knowledge Base

The Knowledge Base is a repository of structured and unstructured data that agents use to answer questions and provide informed responses. It supports:

  • Integration with documents, databases, and custom content
  • RAG (Retrieval-Augmented Generation) pipelines to fetch and generate accurate answers
  • Citation of source documents, ensuring transparency and trustworthiness

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3. Tools

Tools are modular functions or APIs that your agent can invoke to perform specific tasks beyond text generation. Examples include:

  • Sending emails
  • Performing calculations
  • Querying external databases or APIs
  • Executing workflow commands

Adding tools makes agents actionable and increases their utility in real-world scenarios.

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4. Features

Lyzr offers a rich set of optional features to enhance your agent’s capabilities:

  • Memory management for short-term and long-term context retention
  • Reinforcement Learning with Human Feedback (RLHF) to continuously improve agent behavior
  • Multi-LLM switching for optimized performance and cost-efficiency
  • Safety filters and Responsible AI controls integrated into inference pipelines

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5. Multi-Agent Orchestration

Lyzr supports advanced orchestration of multiple agents working collaboratively via:

  • Directed Acyclic Graph (DAG) orchestration: Ideal for workflows with clearly defined task dependencies
  • Managerial orchestration: Adaptive, goal-driven orchestration where a manager agent dynamically assigns subtasks and monitors progress

This enables complex automation workflows and multi-step AI processes with traceability and fault tolerance.

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6. Lyzr Studio

The Studio is a visual, low-code platform for building, testing, and managing your AI agents. Key capabilities include:

  • Intuitive agent builder UI with drag-and-drop tools and configuration options
  • Real-time agent testing console to simulate interactions
  • Management dashboards for monitoring agent performance, event logs, and usage metrics
  • Access to AI Academy for training and upskilling your team on generative AI

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7. REST API

For developers and enterprises requiring programmatic control, Lyzr offers a comprehensive REST API enabling:

  • Agent creation, modification, and deletion
  • Running inference calls and streaming responses
  • Managing knowledge bases and tools
  • Monitoring agent usage and health

This API-first approach facilitates seamless integration of AI agents into existing software systems and workflows.

Together, these components form a robust and extensible foundation to build, deploy, and manage secure, scalable, and responsible AI applications using Lyzr.

For detailed guidance on how to use these components in practice, please refer to the How to Use section.