# Lyzr

```json
{
  "name": "Lyzr",
  "slug": "lyzr",
  "url": "https://composio.dev/toolkits/lyzr",
  "markdown_url": "https://composio.dev/toolkits/lyzr.md",
  "logo_url": "https://logos.composio.dev/api/lyzr",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:33:01.232Z"
}
```

![Lyzr logo](https://logos.composio.dev/api/lyzr)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Lyzr MCP or direct API to build agents, run evaluations, manage knowledge bases, and orchestrate workflows through natural language.

## Summary

Lyzr is an AI agent platform for building, running, evaluating, and managing agents.
It helps teams ship safer AI workflows with Studio services for memory, voice, simulations, and knowledge bases.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 22

## Images

- Logo: https://logos.composio.dev/api/lyzr

## Authentication

- **Api Key**
  - Type: `api_key`
  - Description: Api Key authentication for Lyzr.
  - Setup:
    - Configure Api Key credentials for Lyzr.
    - Use the credentials when creating an auth config in Composio.

## Suggested Prompts

- Create a Lyzr agent evaluation report
- Run responsible AI checks on agents
- Schedule Lyzr workflow for lead scoring

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `LYZR_ADD_MEMORY_MESSAGES` | Add Memory Messages | Store a batch of conversation messages in Lyzr Memory for an owner, session, and optional agent, with optional synchronous fact extraction. |
| `LYZR_CHAT_WITH_AGENT` | Chat With Agent | Send a message or message history to an active Agent Studio agent and return its synchronous inference response for a session. |
| `LYZR_CLEAR_MEMORY_SESSION` | Clear Memory Session | Permanently clear messages and memories for one explicit owner and session in Lyzr Memory. Cross-session deletion is always disabled. |
| `LYZR_CREATE_AGENT` | Create Agent | Create a single-task Agent Studio agent with an LLM provider, model, instructions, and optional tool configuration. |
| `LYZR_CREATE_AGENT_SCHEDULE` | Create Agent Schedule | Create a cron schedule that runs one Agent Studio agent with a message in a specified timezone. |
| `LYZR_DELETE_AGENT` | Delete Agent | Permanently delete one Agent Studio agent by ID. |
| `LYZR_DELETE_AGENT_SCHEDULE` | Delete Agent Schedule | Permanently delete one agent cron schedule and remove its associated scheduler job. |
| `LYZR_EVALUATE_TEXT_WITH_RAI_POLICY` | Evaluate Text With RAI Policy | Apply one owned Responsible AI policy to text and return processed text, block decisions, warnings, detections, and redactions. |
| `LYZR_GET_AGENT` | Get Agent | Return the current configuration and status of one Agent Studio agent by ID. |
| `LYZR_GET_KNOWLEDGE_BASE` | Get Knowledge Base | Return one Lyzr Knowledge Base configuration by its known RAG configuration ID. |
| `LYZR_GET_SIMULATION_OVERVIEW` | Get Simulation Overview | Return aggregate Agent Simulation counts and average evaluation pass rate for the connected workspace. |
| `LYZR_LIST_AGENTS` | List Agents | Return all Agent Studio agents owned by the connected API key, including IDs needed by lifecycle and inference tools. |
| `LYZR_LIST_AGENT_SCHEDULES` | List Agent Schedules | Return one page of agent cron schedules, optionally filtered by user, agent, or active state. |
| `LYZR_LIST_AGENT_SIMULATION_ISSUES` | List Agent Simulation Issues | Return recent performance, error, and Responsible AI issues across monitored agents, optionally filtered by resolution and severity. |
| `LYZR_LIST_RAI_POLICIES` | List RAI Policies | Return Responsible AI policies owned by the authenticated user, including policy IDs and enabled guardrail configuration. |
| `LYZR_LIST_SUPERFLOW_EXECUTIONS` | List SuperFlow Executions | Return one page of SuperFlow execution records, optionally filtered by workflow and execution status. |
| `LYZR_LIST_SUPERFLOW_WORKFLOWS` | List SuperFlow Workflows | Return all SuperFlow workflow definitions accessible to the connected API key, including workflow IDs and graph data. |
| `LYZR_LIST_VOICE_AGENTS` | List Voice Agents | Return saved Voice agents accessible to the connected organization, including IDs used to filter transcripts. |
| `LYZR_LIST_VOICE_TRANSCRIPTS` | List Voice Transcripts | Return one page of accessible Voice call transcripts, optionally filtered by agent, session, organization, or date range. |
| `LYZR_RETRIEVE_KNOWLEDGE` | Retrieve Knowledge | Retrieve relevant documents from a known Lyzr Knowledge Base using configurable basic, MMR, hypothetical-document, or time-aware retrieval. |
| `LYZR_SEARCH_MEMORIES` | Search Memories | Semantically search stored memories for one owner, within one session or across that owner's sessions, using Lyzr's hybrid vector and BM25 retrieval. |
| `LYZR_SET_AGENT_STATUS` | Set Agent Status | Activate or deactivate an Agent Studio agent. Deactivated agents reject inference until reactivated. |

## Supported Triggers

None listed.

## Installation and MCP Setup

### Path 1: SDK Installation

#### Path 1, Step 1: Install Composio

Install the Composio SDK
```python
pip install composio_openai
```

```typescript
npm install @composio/openai
```

#### Path 1, Step 2: Initialize Composio and Create Tool Router Session

Import and initialize Composio client, then create a Tool Router session
```python
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
openai = OpenAI()
session = composio.create(user_id='your-user-id')
```

```typescript
import OpenAI from 'openai';
import { Composio } from '@composio/core';
import { OpenAIResponsesProvider } from '@composio/openai';

const composio = new Composio({
  provider: new OpenAIResponsesProvider(),
});
const openai = new OpenAI({});
const session = await composio.create('your-user-id');
```

#### Path 1, Step 3: Execute Lyzr Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Lyzr actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'List my Lyzr Studio agents and summarize their latest evaluation status'
  }]
)
result = composio.provider.handle_tool_calls(
  response=response,
  user_id='your-user-id'
)
print(result)
```

```typescript
const tools = session.tools;
const response = await openai.responses.create({
  model: 'gpt-4.1',
  tools: tools,
  input: [{
    role: 'user',
    content: 'List my Lyzr Studio agents and summarize their latest evaluation status'
  }],
});
const result = await composio.provider.handleToolCalls(
  'your-user-id',
  response.output
);
console.log(result);
```

### Path 2: MCP Server Setup

#### Path 2, Step 1: Install Composio

Install the Composio SDK for Python or TypeScript
```python
pip install composio claude-agent-sdk
```

```typescript
npm install @composio/core ai @ai-sdk/openai @ai-sdk/mcp
```

#### Path 2, Step 2: Initialize Client and Create Tool Router Session

Import and initialize the Composio client, then create a Tool Router session for Lyzr
```python
from composio import Composio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions

composio = Composio(api_key='your-composio-api-key')
session = composio.create(user_id='your-user-id')
url = session.mcp.url
```

```typescript
import { Composio } from '@composio/core';

const composio = new Composio({ apiKey: 'your-api-key' });
const session = await composio.create('your-user-id');
console.log(`Tool Router session created: ${session.mcp.url}`);
```

#### Path 2, Step 3: Connect to AI Agent

Use the MCP server with your AI agent (Anthropic Claude or Mastra)
```python
import asyncio

options = ClaudeAgentOptions(
    permission_mode='bypassPermissions',
    mcp_servers={
        'tool_router': {
            'type': 'http',
            'url': url,
            'headers': {
                'x-api-key': 'your-composio-api-key'
            }
        }
    },
    system_prompt='You are a helpful assistant with access to Lyzr tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Run a responsible AI check on my Lyzr customer-support agent')
        async for message in client.receive_response():
            if hasattr(message, 'content'):
                for block in message.content:
                    if hasattr(block, 'text'):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { openai } from '@ai-sdk/openai';
import { experimental_createMCPClient as createMCPClient } from '@ai-sdk/mcp';
import { generateText } from 'ai';

const client = await createMCPClient({
  transport: {
    type: 'http',
    url: session.mcp.url,
    headers: {
      'x-api-key': 'your-composio-api-key',
    },
  },
});

const tools = await client.tools();
const { text } = await generateText({
  model: openai('gpt-4o'),
  tools,
  messages: [{
    role: 'user',
    content: 'Query my Lyzr knowledge base for onboarding policy gaps'
  }],
  maxSteps: 5,
});

console.log(`Agent: ${text}`);
```

## Why Use Composio?

### 1. AI Native Lyzr Integration

- Supports both Lyzr MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable Lyzr agent, workflow, and knowledge base actions
- Rich coverage for building, running, evaluating, and managing your Lyzr Studio services

### 2. Managed Auth

- Secure API key handling without hard-coding Lyzr credentials in your agent code
- Central place to manage, scope, and revoke Lyzr access
- Per user and per environment credentials so dev, staging, and production stay clean

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Comprehensive execution logs so you always know what ran, when, and on whose behalf
- Clear tool inputs help agents work with Lyzr evaluations, simulations, memory, and workflows with fewer failed calls

### 4. Enterprise Grade Security

- Fine-grained RBAC so you control which agents and users can access Lyzr
- Scoped, least privilege access to Lyzr agents, workflows, and Studio resources
- Full audit trail of agent actions to support review, debugging, and compliance

## Use Lyzr with any AI Agent Framework

Choose a framework you want to connect Lyzr with:

None listed.

## Related Toolkits

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- [Bigml](https://composio.dev/toolkits/bigml) - BigML is a machine learning platform that lets you build, train, and deploy predictive models from your data. Its intuitive interface and robust API make machine learning accessible and efficient.
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## Frequently Asked Questions

### Do I need my own developer credentials to use Lyzr with Composio?

Yes, Lyzr requires you to configure your own API key credentials. Once set up, Composio handles secure credential storage and API request handling for you.

### Can I use multiple toolkits together?

Yes! Composio's Tool Router enables agents to use multiple toolkits. [Learn more](https://docs.composio.dev/tool-router/overview).

### Is Composio secure?

Composio is SOC 2 and ISO 27001 compliant with all data encrypted in transit and at rest. [Learn more](https://trust.composio.dev).

### What if the API changes?

Composio maintains and updates all toolkit integrations automatically, so your agents always work with the latest API versions.

---
[See all toolkits](https://composio.dev/toolkits) · [Composio docs](https://docs.composio.dev/llms.txt)