# VLM Run

```json
{
  "name": "VLM Run",
  "slug": "vlm_run",
  "url": "https://composio.dev/toolkits/vlm_run",
  "markdown_url": "https://composio.dev/toolkits/vlm_run.md",
  "logo_url": "https://logos.composio.dev/api/vlm_run",
  "categories": [
    "ai & machine learning"
  ],
  "is_composio_managed": false,
  "updated_at": "2026-08-20T15:34:40.929Z"
}
```

![VLM Run logo](https://logos.composio.dev/api/vlm_run)

## Description

Securely connect your AI agents and chatbots (Claude, ChatGPT, Cursor, etc) with VLM Run MCP or direct API to extract structured data, run multimodal predictions, manage files, and evaluate model outputs through natural language.

## Summary

VLM Run is a multimodal AI platform for structured extraction, predictions, files, skills, feedback, and evaluations.
It helps teams build reliable vision-language workflows without stitching together model, file, and eval infrastructure by hand.

## Categories

- ai & machine learning

## Toolkit Details

- Tools: 11

## Images

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

## Authentication

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

## Suggested Prompts

- Extract invoice fields from uploaded PDFs
- Classify product images by defect type
- Evaluate extraction quality against gold labels

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `VLM_RUN_CREATE_SKILL` | Create Skill | Create a reusable skill from exactly one uploaded zip, prompt, or chat session. |
| `VLM_RUN_DISCOVER_EXTRACTION_SCHEMAS` | Discover Extraction Schemas | List supported structured-extraction domains, or return the full JSON schema for one domain when domain is provided. |
| `VLM_RUN_EXECUTE_AGENT` | Execute Agent | Start a VLM Run agent execution from an existing agent name or inline configuration over multimodal inputs. Execution may consume credits and is asynchronous by default; poll the returned ID with VLM_RUN_GET_RUN. |
| `VLM_RUN_EXTRACT_STRUCTURED_JSON` | Extract Structured JSON | Start structured JSON extraction from images, a document, a video, or audio using a domain, custom schema, or skill. Extraction may consume credits; document, video, and audio runs are asynchronous by default, so poll the returned prediction ID with VLM_RUN_GET_RUN. |
| `VLM_RUN_FIND_FILES` | Find Files | List uploaded files or find one by file ID or MD5 hash. In list mode, use offset and limit until has_more is false. |
| `VLM_RUN_FIND_SKILLS` | Find Skills | List VLM Run skills or find one exact skill by ID, name, and optional version. In list mode, continue from next_offset while has_more is true. |
| `VLM_RUN_GET_RUN` | Get Run | Get the current status and result of one structured-extraction prediction or agent execution; call repeatedly to poll asynchronous work. |
| `VLM_RUN_LIST_AGENTS` | List Agents | Return agents available to the connected account for selection before execution. |
| `VLM_RUN_LIST_ARTIFACTS` | List Artifacts | List artifact metadata belonging to exactly one chat session or agent execution. Use offset and limit to traverse pages until has_more is false. |
| `VLM_RUN_LIST_RUNS` | List Runs | List structured-extraction predictions or agent executions for the connected account. Use offset and limit to traverse pages until has_more is false. |
| `VLM_RUN_UPLOAD_FILE` | Upload File | Upload a local file to VLM Run for extraction, agent input, or skill creation. Retain the returned file ID for tools that consume uploaded files. |

## 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 VLM Run Tools via Tool Router with Your Agent

Get tools from Tool Router session and execute VLM Run actions with your Agent
```python
tools = session.tools
response = openai.responses.create(
  model='gpt-4.1',
  tools=tools,
  input=[{
    'role': 'user',
    'content': 'Extract vendor, total, due date, and line items from my uploaded invoice using VLM Run'
  }]
)
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: 'Extract vendor, total, due date, and line items from my uploaded invoice using VLM Run'
  }],
});
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 VLM Run
```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 VLM Run tools.',
    max_turns=10
)

async def main():
    async with ClaudeSDKClient(options=options) as client:
        await client.query('Run a VLM Run prediction on the uploaded product image and classify visible defects')
        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: 'Run a VLM Run prediction on the uploaded product image and classify visible defects'
  }],
  maxSteps: 5,
});

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

## Why Use Composio?

### 1. AI Native VLM Run Integration

- Supports both VLM Run MCP and direct API based integrations
- Structured, LLM-friendly schemas for reliable multimodal tool execution
- Rich coverage for files, predictions, structured extraction, skills, feedback, and evaluations

### 2. Managed Auth

- Secure API key handling so your agents never need hard-coded VLM Run credentials
- Central place to manage, scope, and revoke VLM Run access
- Per user and per environment credentials for cleaner, safer deployments

### 3. Agent Optimized Design

- Tools are tuned for language models, so agents can call VLM Run actions with fewer brittle prompts
- Clear schemas help agents pass the right file, extraction, prediction, and evaluation inputs
- 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 VLM Run
- Scoped, least privilege access to VLM Run resources
- Full audit trail of agent actions to support review, debugging, and compliance

## Use VLM Run with any AI Agent Framework

Choose a framework you want to connect VLM Run with:

None listed.

## Related Toolkits

- [Composio](https://composio.dev/toolkits/composio) - Composio is an integration platform that connects AI agents with hundreds of business tools. It streamlines authentication and lets you trigger actions across services—no custom code needed.
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- [Browser tool](https://composio.dev/toolkits/browser_tool) - Browser tool is a virtual browser integration that lets AI agents interact with the web programmatically. It enables automated browsing, scraping, and action-taking from any AI workflow.
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- [All images ai](https://composio.dev/toolkits/all_images_ai) - All-Images.ai is an AI-powered image generation and management platform. It helps you create, search, and organize images effortlessly with advanced AI capabilities.
- [AltTextLab](https://composio.dev/toolkits/alt_text_lab) - AltTextLab is an AI service that generates accessible, SEO-aware alt text for images. It helps teams make image content easier to understand, index, and publish.
- [Anthropic administrator](https://composio.dev/toolkits/anthropic_administrator) - Anthropic administrator is an API for managing Anthropic organizational resources like members, workspaces, and API keys. It helps you automate admin tasks and streamline resource management across your Anthropic organization.
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- [Apipie ai](https://composio.dev/toolkits/apipie_ai) - Apipie ai is an AI model aggregator offering a single API for accessing top AI models from multiple providers. It helps developers build cost-efficient, latency-optimized AI solutions without juggling multiple integrations.
- [Arize AX](https://composio.dev/toolkits/arize_ax) - Arize AX is an AI engineering platform for tracing, evaluating, and improving AI applications. Use it to debug LLM behavior, compare experiments, and improve production AI quality.
- [Artificial Analysis](https://composio.dev/toolkits/artificial_analysis) - Artificial Analysis is an independent benchmarking platform for AI models and API providers. Use it to compare model intelligence, coding, math, pricing, latency, throughput, and arena rankings.
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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.
- [Bland AI](https://composio.dev/toolkits/bland_ai) - Bland AI is a conversational AI platform for building voice agents, phone calls, messaging, and communication workflows. Use it to automate calling, evaluate conversations, and run voice operations at scale.
- [Botbaba](https://composio.dev/toolkits/botbaba) - Botbaba is a platform for building, managing, and deploying conversational AI chatbots across messaging channels. It streamlines chatbot automation, making it easier to integrate AI into customer interactions.

## Frequently Asked Questions

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

Yes, VLM Run requires you to configure your own API key. 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)