# Openlayer

```json
{
  "name": "Openlayer",
  "slug": "openlayer",
  "url": "https://composio.dev/toolkits/openlayer",
  "markdown_url": "https://composio.dev/toolkits/openlayer.md",
  "logo_url": "https://logos.composio.dev/api/openlayer",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:33:29.363Z"
}
```

![Openlayer logo](https://logos.composio.dev/api/openlayer)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with Openlayer MCP or direct API to manage projects, monitor production data, evaluate tests, and inspect model performance through natural language.

## Summary

Openlayer is an AI quality platform for managing projects, monitoring production data, evaluating tests, and inspecting model performance.
Use it to catch regressions, track production quality, and keep AI applications reliable before and after release.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 10

## Images

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

## Authentication

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

## Suggested Prompts

- List failing Openlayer tests for deployment
- Summarize production drift in Openlayer project
- Create Openlayer report for model performance

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `OPENLAYER_GET_DATA_SOURCE` | Get Data Source | Return one Openlayer monitoring data source, including its backend, monitoring status, record and test counts, and optional project or workspace details. |
| `OPENLAYER_GET_PROJECT_VERSION` | Get Project Version | Return one Openlayer project commit or version with its processing status, commit metadata, storage URI, and passing, failing, and total test counts. |
| `OPENLAYER_GET_WORKSPACE` | Get Workspace | Return a workspace's identity, status, connected-account membership, usage counts, and plan limits. Obtain workspace_id from List Projects first. |
| `OPENLAYER_LIST_DATA_SOURCES` | List Data Sources | Return one page of monitoring data sources for an Openlayer project, optionally filtered by name. |
| `OPENLAYER_LIST_DATA_SOURCE_TEST_RESULTS` | List Data Source Test Results | Return one page of the latest monitoring test results for an Openlayer data source, optionally filtered by test category or execution status. |
| `OPENLAYER_LIST_PROJECTS` | List Projects | Return one page of projects visible to the connected Openlayer workspace, optionally filtered by name or task type. |
| `OPENLAYER_LIST_PROJECT_VERSIONS` | List Project Versions | Return one page of commits and versions for an Openlayer project, including processing status, commit metadata, and passing, failing, and total test counts. |
| `OPENLAYER_LIST_PROJECT_VERSION_TEST_RESULTS` | List Project Version Test Results | Return one page of test results for a project version, optionally filtered by test category, archive state, or result status. |
| `OPENLAYER_LIST_TEST_RESULTS` | List Test Results | Return one page of results for a test, with optional project-version, data-source, and status filters and optional generated insights. |
| `OPENLAYER_LIST_TESTS` | List Tests | Return one page of tests configured for an Openlayer project, with filters for category, archive state, origin version, production-data use, and suggested status. |

## 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 Openlayer Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute Openlayer actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'List my Openlayer projects and summarize the latest model performance metrics'
  }]
)
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 Openlayer projects and summarize the latest model performance metrics'
  }],
});
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 Openlayer
```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 Openlayer tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Find failing Openlayer tests in my latest project and explain the regressions')
        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: 'Find failing Openlayer tests in my latest project and explain the regressions'
  }],
  maxSteps: 5,
});

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

## Why Use Composio?

### 1. AI Native Openlayer Integration

- Supports both Openlayer MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable tool execution
- Rich coverage for reading, writing, and querying your Openlayer projects, tests, production data, and model quality signals

### 2. Managed Auth

- Securely store Openlayer API keys without hard-coding them in agent code
- Central place to manage, scope, and revoke Openlayer access
- Per user and per environment credentials so agents act with the right access every time

### 3. Agent Optimized Design

- Tools are tuned using real error and success rates to improve reliability over time
- Clear schemas help agents understand Openlayer concepts like projects, tests, production monitoring, and performance metrics
- Comprehensive execution logs so you always know what ran, when, and on whose behalf

### 4. Enterprise Grade Security

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

## Use Openlayer with any AI Agent Framework

Choose a framework you want to connect Openlayer with:

None listed.

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## Frequently Asked Questions

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

Yes, Openlayer 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.

---
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