# 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": "2026-10-04T15:04:18.164Z"
}
```

![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, the OpenAI provider, and the OpenAI SDK
```python
pip install composio composio_openai openai
```

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

#### Path 1, Step 2: Create a Composio session

Initialize Composio with the OpenAI Responses provider and create a session scoped to Openlayer
```python
import json
from openai import OpenAI
from composio import Composio
from composio_openai import OpenAIResponsesProvider

composio = Composio(provider=OpenAIResponsesProvider())
client = OpenAI()

session = composio.create(user_id="your-user-id", toolkits=["openlayer"])
tools = session.tools()
```

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

const composio = new Composio({ provider: new OpenAIResponsesProvider() });
const client = new OpenAI();

const session = await composio.create("your-user-id", { toolkits: ["openlayer"] });
const tools = await session.tools();
```

#### Path 1, Step 3: Run Openlayer tools with your agent

Send a request, execute the Openlayer tool calls through the session, and print the final answer
```python
response = client.responses.create(
    model="gpt-5.6-sol",
    tools=tools,
    input=[{"role": "user", "content": "List my Openlayer projects and summarize the latest model performance metrics"}],
)

while True:
    tool_calls = [o for o in response.output if o.type == "function_call"]
    if not tool_calls:
        break
    results = composio.provider.handle_tool_calls(response=response, session=session)
    response = client.responses.create(
        model="gpt-5.6-sol",
        tools=tools,
        previous_response_id=response.id,
        input=[
            {"type": "function_call_output", "call_id": call.call_id, "output": json.dumps(results[i])}
            for i, call in enumerate(tool_calls)
        ],
    )

print(response.output_text)
```

```typescript
let response = await client.responses.create({
  model: "gpt-5.6-sol",
  tools,
  input: [{ role: "user", content: "List my Openlayer projects and summarize the latest model performance metrics" }],
});

while (response.output.some((o) => o.type === "function_call")) {
  const outputs = await composio.provider.handleToolCalls(session, response.output);
  response = await client.responses.create({
    model: "gpt-5.6-sol",
    tools,
    previous_response_id: response.id,
    input: outputs,
  });
}

console.log(response.output_text);
```

### Path 2: MCP Server Setup

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

Install the Composio SDK and your agent framework
```python
pip install composio claude-agent-sdk
```

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

#### Path 2, Step 2: Create a session with MCP enabled

Create a session scoped to Openlayer and read its MCP URL and headers
```python
from composio import Composio

composio = Composio()
session = composio.create(user_id="your-user-id", toolkits=["openlayer"], mcp=True)
```

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

const composio = new Composio();
const { mcp } = await composio.create("your-user-id", {
  toolkits: ["openlayer"],
  mcp: true,
});
```

#### Path 2, Step 3: Connect your agent to the MCP server

Pass the session's MCP URL and headers to your agent and run a Openlayer request
```python
import asyncio
from claude_agent_sdk import ClaudeSDKClient, ClaudeAgentOptions, AssistantMessage, TextBlock

options = ClaudeAgentOptions(
    mcp_servers={
        "composio": {
            "type": "http",
            "url": session.mcp.url,
            "headers": session.mcp.headers,
        }
    },
    system_prompt="You are a helpful assistant with access to Openlayer tools.",
    tools=[],
    allowed_tools=["mcp__composio__*"],
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query("List my Openlayer projects and summarize the latest model performance metrics")
        async for message in client.receive_response():
            if isinstance(message, AssistantMessage):
                for block in message.content:
                    if isinstance(block, TextBlock):
                        print(block.text)

asyncio.run(main())
```

```typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { openai } from "@ai-sdk/openai";
import { generateText, stepCountIs } from "ai";

const client = await createMCPClient({
  transport: { type: "http", url: mcp.url, headers: mcp.headers },
});

const { text } = await generateText({
  model: openai("gpt-5.6-sol"),
  tools: await client.tools(),
  prompt: "List my Openlayer projects and summarize the latest model performance metrics",
  stopWhen: stepCountIs(10),
});

console.log(text);
await client.close();
```

## 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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