# PromptLayer

```json
{
  "name": "PromptLayer",
  "slug": "promptlayer",
  "url": "https://composio.dev/toolkits/promptlayer",
  "markdown_url": "https://composio.dev/toolkits/promptlayer.md",
  "logo_url": "https://logos.composio.dev/api/promptlayer",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:33:47.070Z"
}
```

![PromptLayer logo](https://logos.composio.dev/api/promptlayer)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with PromptLayer MCP or direct API to version prompts, run evaluations, inspect request logs, and analyze LLM performance through natural language.

## Summary

PromptLayer is a prompt management and observability platform for LLM apps.
Use it to version prompts, run evaluations, trace requests, and analyze model behavior.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 16

## Images

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

## Authentication

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

## Suggested Prompts

- List failed PromptLayer requests today
- Compare prompt versions by evaluation score
- Run saved PromptLayer prompt with variables

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `PROMPTLAYER_GET_PROMPT_TEMPLATE` | Get Prompt Template | Retrieve a prompt template version, release label, messages, model metadata, snippets, and optionally provider-ready kwargs without executing it. |
| `PROMPTLAYER_GET_REGISTERED_TOOL` | Get Registered Tool | Retrieve a PromptLayer registered tool definition by ID or name at a selected version or release label without test execution. |
| `PROMPTLAYER_GET_REQUEST_LOG` | Get Request Log | Retrieve one PromptLayer request log with its recorded input, output, timing, usage, metadata, tags, and scores. |
| `PROMPTLAYER_GET_SKILL_COLLECTION` | Get Skill Collection | Retrieve a PromptLayer skill collection and its files as JSON at a selected version or release label. |
| `PROMPTLAYER_GET_TABLE` | Get Table | Retrieve one PromptLayer Table's metadata and per-sheet row counts by UUID. |
| `PROMPTLAYER_GET_WORKFLOW` | Get Workflow | Retrieve a PromptLayer workflow definition by ID or name at a specific version or release label without running it. |
| `PROMPTLAYER_LIST_FOLDER_ENTITIES` | List Folder Entities | Browse or search PromptLayer folders and registry entities in the API-key workspace, optionally recursively and with metadata. |
| `PROMPTLAYER_LIST_PROMPT_TEMPLATES` | List Prompt Templates | Search and page through PromptLayer prompt templates and snippets without executing a model. |
| `PROMPTLAYER_LIST_REGISTERED_TOOLS` | List Registered Tools | List and filter tools defined in PromptLayer's tool registry without executing them. |
| `PROMPTLAYER_LIST_SKILL_COLLECTIONS` | List Skill Collections | List and filter PromptLayer skill collections available in the API-key workspace. |
| `PROMPTLAYER_LIST_TABLE_COLUMNS` | List Table Columns | List one page of user and optionally system columns for a PromptLayer Table sheet. |
| `PROMPTLAYER_LIST_TABLE_ROWS` | List Table Rows | Read one page of rows and cells from a PromptLayer Table sheet, with optional schema and execution aggregates. |
| `PROMPTLAYER_LIST_TABLES` | List Tables | Search and page through PromptLayer Tables by folder, name, or referenced prompt. |
| `PROMPTLAYER_LIST_TABLE_SHEETS` | List Table Sheets | List one page of sheets in a PromptLayer Table, optionally filtering by referenced prompt. |
| `PROMPTLAYER_LIST_WORKFLOWS` | List Workflows | Search and page through PromptLayer workflows without running them. |
| `PROMPTLAYER_SEARCH_REQUEST_LOGS` | Search Request Logs | Search PromptLayer request logs by text or structured filters and return one rate-limited page sorted by operational fields. |

## 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 PromptLayer Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute PromptLayer actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'List failed PromptLayer requests from the last 24 hours and summarize the main error patterns'
  }]
)
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 failed PromptLayer requests from the last 24 hours and summarize the main error patterns'
  }],
});
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 PromptLayer
```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 PromptLayer tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Compare the latest PromptLayer prompt versions and identify which evaluation scores improved')
        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: 'Compare the latest PromptLayer prompt versions and identify which evaluation scores improved'
  }],
  maxSteps: 5,
});

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

## Why Use Composio?

### 1. AI Native PromptLayer Integration

- Supports both PromptLayer MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable prompt, log, and evaluation workflows
- Rich coverage for reading, writing, and querying your PromptLayer data without bespoke integration code

### 2. Managed Auth

- PromptLayer uses API key auth, and Composio keeps those keys out of your agent code
- Create auth configs with auth_configs.create() and link user accounts with connected_accounts.link()
- Use per user and per environment credentials instead of hard-coded PromptLayer keys

### 3. Agent Optimized Design

- Tools are tuned for LLMs, so agents can safely inspect PromptLayer runs, evaluations, and prompt versions
- Comprehensive execution logs help you see what ran, when, and on whose behalf
- Use mcp.create() or Tool Router sessions to connect PromptLayer to Claude, ChatGPT, Cursor, and other agents

### 4. Enterprise Grade Security

- Fine-grained RBAC helps you control which agents and users can access PromptLayer
- Scoped, least privilege access keeps PromptLayer prompt and observability data protected
- Full audit trails make agent activity easier to review, debug, and govern

## Use PromptLayer with any AI Agent Framework

Choose a framework you want to connect PromptLayer with:

None listed.

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## Frequently Asked Questions

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

Yes, PromptLayer 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)