How to Use

Docs

The simplest agent framework to build 'Secure, Safe and Responsible' GenAI apps faster

Introduction

Lyzr

Discover the key differentiators that set Lyzr apart in the GenAI agent landscape.

Why Lyzr?

What Makes Lyzr Unique

Explore all the powerful GenAI use cases Lyzr enables through its flexible agent framework.

What You Can Build

Get up and running with Lyzr Agent Studio in under a minute

Quick Start

An introduction to Lyzr and a high-level overview of building agents with Lyzr.

Basic Overview

Understanding the core components of Lyzr’s agent framework and Studio.

Components

Agent Building

Guide to using Lyzr's powerful REST API for building and managing AI agents.

How to Use - API

Models

Detailed overview and use cases of OpenAI models integrated with Lyzr

OpenAI

OpenAI Models

Anthropic Claude models available in Lyzr and their ideal use cases

Anthropic

Amazon Bedrock models available in Lyzr and how to configure them for enterprise-scale AI agents

AWS Bedrock

AWS Bedrock Models

Gemini models from Google available in Lyzr and their use case guidance

Google

Google Models

Perplexity AI models available in Lyzr with recommended use cases and capabilities

Perplexity

Perplexity Models

Groq-hosted LLMs available in Lyzr with ultra-fast performance, ideal for real-time agent interactions

Groq

Groq Models

Key terminology and definitions for Lyzr Agent Studio and generative AI concepts.

Glossary

Overview of Retrieval-Augmented Generation and how Lyzr leverages it for accurate, context-rich responses.

Retrieval-Augmented Generation (RAG)

Lyzr’s built-in Responsible AI features ensure safe, fair, and compliant agent behavior.

Responsible AI

Deep dive into Lyzr’s Manager Agent for dynamic multi-agent orchestration.

Manager Agent

Join the Lyzr community on Slack and GitHub to connect, contribute, and collaborate.

Community

Join the Lyzr Community

Need Help?

Getting Support

FAQs

Accounts & Billing

Team Management

Comprehensive overview of Lyzr, including Studio and API components.

Overview

Deep Dive

Agents

Steps to create, update, and delete agents in Lyzr Agent Lab

Studio

Managing Agents in Lyzr Agent Studio

Knowledge Base

No code Knowledge Base

Memory Management Introduction

Short-Term Memory

Long-Term Memory

Custom Tool Creation Using Studio

How Lyzr ensures responsible, secure, and ethical AI for enterprises

Safe & Responsible AI

Introduction to LAO

What is DAG?

Workflow

Lyzr Agent Orchestration (LAO) Workflow

How to use

Manager Agent in Lyzr Agents

Best Practices

Manager Agent Best Practices

Sample Use Case

Multi-Channel Customer Support

Lyzr - NANDA

Lyzr - NANDA MCP Server Cookbook

Learn how to build a software manager agent using multi agent orchestration

Lyzr - Software Manager

Join Slack

Agent Lab

Cookbooks

Book Demo

Blog

Industries

Studio Build Path

API Build Path

Lyzr Agents API Documentation

Retrieves all agents associated with a given API key. This is useful for managing multiple agents and checking their configurations.

Get Agents By API Key

Create Agent

Creates a new agent specifically for a single-task operation.

Create Single Task Agent

Retrieve agent details using the agent ID.

Get Agent by ID Endpoint

Updates the configuration of an existing agent.

Update Agent Endpoint

Delete Agent Endpoint

Updates an existing single-task agent with new configuration details.

Update Single Task Agent Endpoint

Retrieves all tools associated with a user.

Get User Tools

Create OpenAPI Tool Endpoint

Fetches detailed information about a specific OpenAPI tool.

Get OpenAPI Tool Info

Executes a specific OpenAPI tool using provided parameters.

Execute OpenAPI Tool

Get Tool Endpoint

This endpoint allows updating an existing tool's configuration.

Update Tool Endpoint

Delete Tool Endpoint

Toggle Tool

Create Tool Credential Endpoint

Update an existing tool credential by its ID.

Update Tool Credential Endpoint

Delete Tool Credential Endpoint

Create RAI Policy

Get all RAI policies for the authenticated user.

Get RAI Policies

Detects whether the input text contains prompt injection.

Prompt Injection

Analyzes the input text for toxicity and returns the result.

Toxicity Checker

Creates a new RAG configuration using LLM, embedding, and vector store credentials.

Create RAG Configuration

Get RAG configuration

Update the configuration for an existing RAG setup by providing the config ID and updated values.

Update RAG Configuration

Deletes an existing RAG configuration by its ID.